WO2023010874A1 - Image photographing apparatus and image processing method - Google Patents

Image photographing apparatus and image processing method Download PDF

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Publication number
WO2023010874A1
WO2023010874A1 PCT/CN2022/084916 CN2022084916W WO2023010874A1 WO 2023010874 A1 WO2023010874 A1 WO 2023010874A1 CN 2022084916 W CN2022084916 W CN 2022084916W WO 2023010874 A1 WO2023010874 A1 WO 2023010874A1
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Prior art keywords
visible light
image
light
dot matrix
lattice
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PCT/CN2022/084916
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French (fr)
Chinese (zh)
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朱力于
杨昆
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华为技术有限公司
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Publication of WO2023010874A1 publication Critical patent/WO2023010874A1/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/50Image enhancement or restoration using two or more images, e.g. averaging or subtraction

Definitions

  • the present application relates to the technical field of image processing, and in particular to an image capturing device and an image processing method.
  • infrared supplementary light can be used to supplement light on the captured target.
  • infrared images can also be generated accordingly, and then infrared images and visible light images can be fused together.
  • infrared images can make up for the shortcomings of blurred images caused by insufficient visible light illumination.
  • infrared images can cover more detailed information, so that the fusion of infrared images and visible light images can show more details.
  • common shooting devices adopt monocular spectroscopic method to generate infrared images and visible light images respectively. That is to say, a lens is used to shoot the target, and then a dichroic prism is used behind the lens to separate the incident light into visible light and infrared light. After that, the visible light and infrared light pass through different transmission routes and are projected onto different photosensitive elements to form infrared light. Light image and visible light image. Afterwards, the infrared light image and the visible light image are fused to obtain a fused image.
  • the method of monocular light splitting needs to focus on infrared light and visible light at the same time, which poses a great challenge to the focusing performance of the lens, and also increases the difficulty of lens design, which is not easy to realize.
  • the present application provides an image capturing device and an image processing method, which are used to simplify the design difficulty of the image capturing device and reduce the difficulty of image fusion.
  • an embodiment of the present application provides an image capturing device, which includes a processor and two different capturing structures.
  • the two different shooting structures are the visible light shooting structure and the non-visible light shooting structure. These two shooting structures can shoot the target projected by the dot matrix light.
  • the visible light photographing structure photographs the target, it can generate a visible light image, and the visible light image includes a first dot matrix formed by dot matrix light.
  • the non-visible light photographing structure photographs the target to generate a non-visible light image, and the non-visible light image includes a second dot matrix formed by dot matrix light.
  • the processor can fuse the visible light image and the infrared light image according to the first lattice and the second lattice, and output a fusion image.
  • the visible light image and the non-visible light image are generated by different photographing structures, and the photographing structures are relatively independent, which can reduce the design difficulty of the image capturing device. Since there are dot matrixes (such as the first dot matrix and the second dot matrix) formed by dot matrix light on both the visible light image and the non-visible light image, the processor can use the dot matrix on the visible light image and the non-visible light image when performing fusion The realization of fusion can reduce the difficulty of fusion and improve the efficiency of image processing.
  • dot matrixes such as the first dot matrix and the second dot matrix
  • the shooting time of the visible light shooting structure is the same as the shooting time of the non-visible light shooting structure.
  • the visible light shooting structure and the non-visible light shooting structure can simultaneously shoot the target and maintain the same exposure time.
  • the exposure time of the visible light imaging structure and the non-visible light imaging structure is the same, which can ensure that the generated visible light image and the content displayed in the non-visible light image are basically the same.
  • the non-visible light may be infrared light, for example, the wavelength of the non-visible light in this application may be greater than 750 nanometers (nm).
  • the generated invisible image is an infrared image
  • the infrared image can contain more detailed information than the visible light image
  • the fusion image generated by the subsequent fusion of the visible light image and the infrared image is also clearer.
  • the dot matrix light source capable of providing dot matrix light may be an external device, or may be a device built into the image capture device.
  • the dot matrix light source can project dot matrix light to the target.
  • the setting method of the dot matrix light source is more flexible, and can be applied to different scenes.
  • the processor fuses the visible light image and the non-visible light image, based on the point-to-point correspondence between the first lattice and the second lattice, the visible light image and the non-visible light image Perform registration; fuse the registered visible light image and non-visible light image to generate a fusion image.
  • the arrangement of light points in the dot matrix in the visible light image and the non-visible light image is relatively regular, and the registration can be realized more conveniently by using the dot matrix in the visible light image and the non-visible light image.
  • the visible light image and the dot matrix in the non-visible light image after registration Non-visible light images can also be well fused, and the fusion method is relatively simple.
  • the first dot matrix and the second dot matrix include a plurality of light points
  • the processor calculates the visible light
  • the dots that have a corresponding relationship are the dots whose feature similarity is greater than the threshold in the first dot matrix and the second dot matrix.
  • the light spots formed by the same beam of light in the array light; the sum, the processor then registers the visible light image and the non-visible light image according to the corresponding light spots.
  • the registration is realized by utilizing the corresponding pairs of light spots, which can improve the accuracy of the registration and ensure the clarity of the subsequently generated fused image.
  • the visible light imaging structure includes a visible light lens and a visible light sensor; the visible light lens captures the visible light reflected by the shooting target, and projects the visible light onto the visible light sensor, that is, the optical lens only passes through the visible light.
  • the visible light sensor senses visible light and generates a visible light image.
  • the non-visible light shooting structure includes a non-visible light lens and a non-visible light sensor; the non-visible light lens can capture the non-visible light reflected by the target, and project the non-visible light onto the non-visible light sensor.
  • the non-visible light sensor senses non-visible light and generates non-visible light images.
  • the visible light shooting structure and the non-visible light shooting structure respectively include a lens and a sensor, which are relatively independent. There is no need for confocal between the visible light shooting structure and the non-visible light shooting structure, which can reduce the construction difficulty of the two shooting structures.
  • the visible light shooting structure further includes an infrared fill light; the infrared fill light can project infrared light to the target when the visible light shooting structure is shooting.
  • the infrared supplementary light can project infrared light to ensure the clarity of the infrared image generated by the non-visible light shooting structure.
  • the visible light lens or the non-visible light lens may be a fixed-focus lens or a zoom lens.
  • the type of the visible light lens or the non-visible light lens is relatively flexible, and there may be many different building methods for the visible light shooting structure and the non-visible light shooting structure.
  • the wavelength of the dot matrix light covers the visible light band and the infrared light band, so that the dot matrix can be formed in the visible light image and the non-visible light image at the same time.
  • the wavelength of the lattice light may also only cover the visible light band, such as greater than 560 nm and less than 750 nm.
  • the visible light lens can be a lens that only passes visible light
  • the non-visible light lens can be an image that can pass both visible light and non-visible light. In this way, a dot matrix can be formed in both the visible light image and the non-visible light image.
  • the projection duration of the dot matrix light is less than 80 milliseconds, and the projection time of the dot matrix light is short, which will not affect the shooting of subsequent image capture devices.
  • the embodiment of the present application provides an image processing method, which can be executed by an image capturing device.
  • an image processing method which can be executed by an image capturing device.
  • the visible light shooting structure and the non-visible light shooting structure in the image shooting device can shoot the target projected by the lattice light, the visible light shooting structure generates a visible light image, and the visible light image includes the first dot matrix formed by the lattice light.
  • the non-visible light photographing structure generates a non-visible light image, and the non-visible light image includes a second lattice formed by lattice light.
  • the processor in the image capture device can fuse the visible light image and the non-visible light image according to the first dot matrix and the second dot matrix, and output a fusion image.
  • the shooting time of the visible light shooting structure is the same as that of the non-visible light shooting structure.
  • the non-visible light is infrared light.
  • the processor when the processor fuses the visible light image and the non-visible light image according to the first lattice and the second lattice, and outputs the fused image, it may According to the corresponding relationship between light points and light points, the visible light image and the non-visible light image are registered; after that, the registered visible light image and non-visible light image are fused to generate a fusion image.
  • the first dot matrix and the second dot matrix include a plurality of light points
  • the processor calculates the visible light
  • the pair of light points that have a corresponding relationship between the first lattice and the second lattice
  • the pair of light points that have a corresponding relationship include a light point of the first lattice and a light point of the second
  • the light points with a corresponding relationship are the light points with a feature similarity greater than the threshold in the first lattice and the second lattice; after that, the visible light image and the non-visible light image are matched according to the light points with the corresponding relationship. allow.
  • the processor when the processor registers the visible light image and the non-visible light image according to the corresponding light points, it can obtain the affine transformation parameters according to the corresponding light points, and then use the affine The transformation parameters register the visible and non-visible images.
  • the visible light shooting structure and the non-visible light shooting structure in the image shooting device subsequently shoot a target (during subsequent shooting, the target may no longer project dot matrix light)
  • a new The visible light image and the new non-visible light image dot matrix may not exist on the new visible light image and the new non-visible light image.
  • the processor in the image capture device can register the new visible light image and the new infrared image according to the previously determined affine transformation parameters, and then fuse the registered visible light image and infrared light image to output a fused image .
  • FIG. 1 is a schematic structural diagram of an image capturing device provided by the present application.
  • FIG. 2 is a schematic structural diagram of a visible light shooting structure provided by the present application.
  • Fig. 3 is a structural schematic diagram of a non-visible light shooting structure provided by the present application.
  • 4A to 4B are schematic diagrams of a dot matrix light, a first dot matrix and a second dot matrix provided by the present application;
  • FIG. 5 is a schematic diagram of an image processing method provided by the present application.
  • FIG. 6 is a schematic diagram of various images generated during an image processing process provided by the present application.
  • an embodiment of the present application provides an image capturing device, and the image capturing device 100 includes two different capturing structures and a processor 130 .
  • the two different shooting structures are capable of shooting the target, one of which is used to generate visible light images, and the other shooting structure is used to generate non-visible light images.
  • the photographing structure for generating visible light images is referred to as the visible light photographing structure 110
  • the photographing structure for generating non-light images is referred to as the non-visible light photographing structure 120 .
  • the dot matrix light includes multiple parallel light beams, and the multiple parallel light beams are arranged according to a specific rule or a specific pattern.
  • the multiple parallel light beams may be arranged in a matrix (that is, the distance between adjacent light beams is the same).
  • the multiple parallel light beams may form a five-pointed star or a hexagon.
  • the objects photographed by the visible light photographing structure 110 and the non-visible light photographing structure 120 are not limited to people, animals, plants or scenery, but also living places (such as office buildings, buildings, office areas) , landscapes, buildings, traffic roads, etc., all objects that can be photographed are applicable to this embodiment of the application.
  • the lattice light will also be reflected on the images generated by the visible light photographing structure 110 and the invisible light photographing structure 120 , and there will be some objects formed by the lattice light on the visible light image generated by the visible light photographing structure 110 .
  • dot matrix In order to distinguish the dot matrix on the visible light image from the dot matrix on the non-visible light image, the dot matrix on the visible light image is called the first dot matrix, and the dot matrix on the non-visible light image is called the second dot matrix.
  • the processor 130 can fuse the visible light image and the non-visible light image according to the first lattice and the second lattice, Generate a fused image.
  • the image capture device 100 may also include a dot matrix light source 140 capable of generating dot matrix light.
  • a dot matrix light source 140 capable of generating dot matrix light.
  • Coverage target What needs to be explained here is that in addition to the target, the coverage of the dot matrix light can also include other things in the scene where the target is located. The coverage of the dot matrix light is related to the projection range of the dot matrix light source.
  • the processor 130 when the processor 130 fuses the visible light image and the infrared light image, it can use the first dot matrix in the non-visible light image and the second dot matrix in the visible light image, the first dot matrix and the second dot matrix
  • the existence of can effectively reduce the difficulty of image fusion, so that visible light images and infrared light images can achieve more accurate and effective image fusion, and the effect of fusion images is also better.
  • Each component in the image capture device 100 is further described below:
  • Visible light imaging structure 110 (1) Visible light imaging structure 110 .
  • the visible light shooting structure 110 includes a visible light lens 111 and a visible light sensor 112 .
  • the visible light sensor 112 may be located at the light output side of the visible light lens 111 , that is, the visible light sensor 112 may be located at the light output side of the visible light lens 111 .
  • visible light refers to light with a wavelength greater than 580 nm to 750 nm.
  • the specific positions of the visible light lens 111 and the visible light sensor 112 are not limited in the embodiment of the present application, for example, the visible light lens 111 and the visible light sensor 112 may be arranged along the optical axis.
  • the visible light shooting device may include a lens to change the propagation direction of the visible light collected by the visible light lens 111 , so that the visible light collected by the visible light lens 111 can be projected onto the visible light sensor 112 .
  • the visible light lens 111 and the visible light sensor 112 if the arrangement can achieve the effect that the visible light collected by the visible light lens 111 can be projected to the visible light sensor 112, then this arrangement is applicable to the embodiment of the present application.
  • the visible light lens 111 can capture the visible light reflected by the target (the visible light also includes the light reflected by the dot light projected on the target), gather the visible light reflected by the target, and project it onto the visible light sensor 112 .
  • the visible light lens 111 may be a fixed-focus lens or a zoom lens.
  • the visible light sensor 112 can also be called an image sensor or a photosensitive element.
  • the visible light sensor 112 can realize photoelectric conversion, sense the light projected on the visible light sensor 112 (here mainly refers to visible light), convert the light into a corresponding electrical signal, and then Visible light images are generated using electrical signals.
  • the embodiment of the present application does not limit the type of the visible light sensor 112, and the visible light sensor 112 may be a charge coupled device (charge coupled device, CCD) or a complementary metal-oxide semiconductor (complementary metal-oxide semiconductor, CMOS).
  • CCD charge coupled device
  • CMOS complementary metal-oxide semiconductor
  • the visible light lens 111 can only pass through visible light, and can filter the non-visible light reflected by the target, remove the non-visible light reflected by the target, and keep the visible light, that is, the visible light lens 111 can After the visible light reflected by the target is converged, the light projected onto the visible light sensor 112 is visible light.
  • the embodiment of the present application does not limit the manner in which the visible light lens 111 filters non-visible light.
  • a filter is added to the visible light lens 111, and the filter can filter non-visible light, such as infrared light.
  • the visible light lens 111 may be coated with a filter film capable of filtering non-visible light.
  • the non-visible light shooting structure 120 includes a non-visible light lens 121 and a non-visible light sensor 122 .
  • the non-visible light sensor 122 may be located at the light output side of the non-visible light lens 121 , that is, the non-visible light sensor 122 may be located at the light output side of the non-visible light lens 121 .
  • the non-visible light may include all light or part of light except visible light.
  • non-visible light may specifically refer to infrared light (light with a wavelength range greater than 0.75 microns and less than 1000 microns), and may also include infrared light and other non-visible light.
  • the specific positions of the non-visible light lens 121 and the non-visible light sensor 122 are not limited. See the above description.
  • the non-visible light lens 121 can capture the non-visible light reflected by the target and the light reflected by the dot matrix light projected on the target, gather the non-visible light reflected by the target and the light reflected by the dot matrix light projected on the target, and project to the invisible light sensor 122.
  • the non-visible light lens 121 may be a fixed-focus lens or a zoom lens.
  • the invisible light sensor 122 is similar to the visible light sensor 112 , and details can be referred to the foregoing description. It should be noted here that the non-visible light lens 121 can project the non-visible light and the light reflected by the dot light projected on the target to the non-visible light sensor 122 . The invisible light sensor 122 can sense the invisible light and the light reflected by the dot light projected on the target, convert the sensed invisible light into a corresponding electrical signal, and then use the electrical signal to generate an invisible light image.
  • the infrared supplementary light 123 can emit infrared light, and when the invisible light shooting structure 120 is photographing a target, the infrared supplementary light 123 can be turned on to project the infrared light onto the target.
  • the non-visible light lens 121 will capture a large amount of infrared light, and a large amount of infrared light will be converged by the non-visible light lens 121 and projected onto the non-visible light sensor 122.
  • the non-visible light sensor 122 can realize photoelectric conversion, and the generated non-visible light image It is clearer and can cover more detailed information on the target.
  • the infrared supplementary light 123 can also be installed externally, such as being arranged outside the entire image capture device 100 .
  • non-visible light photographing structure 120 there are two possible implementations of the non-visible light photographing structure 120 and the visible light photographing structure 110 .
  • the visible light lens 111 in the visible light shooting structure 110 is different from the non-visible light lens 121 of the non-visible light shooting structure 120 , and the non-visible light sensor 122 and the visible light sensor 112 may be the same.
  • the visible light lens 111 in the visible light shooting structure 110 can filter non-visible light and retain visible light.
  • the non-visible light lens 121 is different from the visible light lens 111 in that the light that can be captured includes non-visible light.
  • the light that can be captured by the non-visible light lens 121 may also include visible light. It can be seen from the foregoing description about the visible light lens 111 that the visible light lens 111 can filter non-visible light, such as by setting a filter or coating the visible light lens 111 to achieve the effect of filtering non-visible light, then without setting a filter or on the lens A lens that is not coated with a filter film capable of filtering non-visible light can be used as the non-visible light lens 121 .
  • the invisible light sensor 122 and the visible light sensor 112 can be the same photosensitive element, and the photosensitive element can sense the light projected onto the photosensitive element.
  • the light projected onto the photosensitive element can be invisible light or visible light.
  • the wavelength range of the lattice light can only cover visible light, for example, the wavelength of the lattice light is greater than 560 nanometers and less than 750 nanometers, so that the lattice can be formed on both visible light images and non-visible light images.
  • the wavelength range of the lattice light may also cover non-visible light, that is, the wavelength of the lattice light is greater than 560 nanometers.
  • the dot matrix light covers non-visible light and visible light
  • the dot matrix can also be formed on the visible light image or the non-visible light image.
  • Method 2 The visible light sensor 112 in the visible light photographing structure 110 is different from the invisible sensor of the invisible light photographing structure 120 , and the invisible light lens 121 and the visible light lens 111 may be the same.
  • the visible light sensor 112 can only sense visible light projected on the visible light sensor 112 , but not non-visible light.
  • the invisible light sensor 122 may only sense invisible light projected on the invisible light sensor 122 instead of visible light.
  • the non-visible light lens 121 and the visible light lens 111 may be the same lens, for example, the non-visible light lens 121 and the visible light lens 111 are lenses that do not filter non-visible light.
  • the non-visible light lens 121 and the visible light lens 111 can be different lenses, for example, the non-visible light lens 121 can be a lens that does not filter non-visible light (such as a lens that is not provided with a filter or is not plated with a filter film), and the visible light lens 111 is a filter that does not filter non-visible light.
  • a lens for visible light (such as a lens with a filter or a filter coating).
  • the wavelength range of the dot matrix light can cover visible light and non-visible light, for example, the wavelength of the dot matrix light is greater than 560 nanometers, so that the dot matrix can be formed on both visible light images and non-visible light images.
  • the visible light capture structure 110 and the non-visible light capture structure 120 can capture the object at the same time or at a similar time (a similar time refers to a time when the time difference is less than a threshold)
  • the target is photographed to generate a visible light image and a non-visible light image at the same time or a similar time.
  • the shooting time of the visible light shooting structure 110 and the non-visible light shooting structure 120 may be the same, that is, the same exposure time may be maintained. In this way, it can be guaranteed that the generated visible light image and the non-visible light image cover the same information.
  • the processor 130 is a central processing unit (central processing unit, CPU), an application specific integrated circuit (application specific integrated circuit, ASIC), a field programmable gate array (field programmable gate array, FPGA), artificial intelligence (artificial intelligence, AI) chip, system on chip (system on chip, SoC) or complex programmable logic device (complex programmable logic device, CPLD), graphics processing unit (graphics processing unit, GPU )wait.
  • CPU central processing unit
  • ASIC application specific integrated circuit
  • FPGA field programmable gate array
  • AI artificial intelligence
  • SoC system on chip
  • CPLD complex programmable logic device
  • graphics processing unit graphics processing unit (graphics processing unit, GPU )wait.
  • Any processor capable of processing images and realizing image fusion is applicable to the embodiments of the present application.
  • the processor 130 when the processor 130 fuses the visible light image and the non-visible light image, the first dot matrix in the visible light image and the second dot matrix in the non-visible light image can be used to realize the fusion of the visible light image and the non-visible light image. fusion.
  • Processor 130 includes two steps in the process of obtaining the fused image.
  • the first step is to first register the visible light image and the non-visible light image
  • the second step is to fuse the registered visible light image and the non-visible light image. , to obtain a fused image.
  • the registration is to match and superimpose the visible light image and the non-visible light image.
  • the affine transformation refers to a change between two two-dimensional spaces
  • the affine transformation parameter is a parameter for realizing a change from one two-dimensional space to another two-dimensional space.
  • an image can represent a two-dimensional space.
  • the affine transformation parameters obtained by using the corresponding feature point pairs are the parameters for realizing the transformation from the visible light image to the non-visible light image, or Parameters for converting non-visible light images to visible light images.
  • the key to registration is to be able to find feature point pairs that have a corresponding relationship. Since there are lattices in both the visible light image and the non-visible light image in the embodiment of the present application, the processor 130 can use the first lattice and the second lattice to find the pairs of feature points that exist. Corresponding pairs of light spots. Afterwards, the processor 130 obtains affine transformation parameters using the light point.
  • the processor 130 may directly use the light points in the first dot matrix and the second dot matrix to find a corresponding light point pair. It is also possible to perform edge alignment on the visible light image and the non-visible light image first, that is, to first align the light spots located on the edge of the image among the light spots in the first dot matrix and the second dot matrix, and find the corresponding light dot pairs. Then use the remaining light points of the first lattice and the second lattice to find pairs of light points that have a corresponding relationship.
  • the processor 130 may analyze the light points in the first dot matrix and the light dots in the second dot matrix, and determine the light dot pairs corresponding to the first dot matrix and the second dot matrix. There may be one or more corresponding light point pairs in the first dot matrix and the second dot matrix.
  • a corresponding light point pair includes two light points, one is a light point in the first dot matrix, and the other is a light dot in the second dot matrix.
  • the reason why the two light points have a corresponding relationship is that the similarity degree of the image features of the two light points is greater than a threshold. That is to say, the corresponding light points are the light points whose feature similarity in the first lattice and the second lattice is greater than a threshold.
  • the processor 130 may use an image analysis algorithm to determine, from the light points in the first dot matrix and the light points in the second dot matrix, the dots in the first dot matrix and the second dot matrix that have a corresponding relationship.
  • the image analysis algorithms here include but are not limited to scale-invariant feature transform (SIFT), OPB (oriented FAST and rotated BRIEF), accelerated robust features (speeded up robust features, SURF).
  • the SHIFT algorithm can analyze the light points in the first lattice and the light points in the second lattice, and find the distance between the light points in the first lattice and the light points in the second lattice. Correspondence, and then determine the pair of light points that have a correspondence.
  • the processor 130 determines the corresponding light point pairs in the first dot matrix and the second dot matrix, use the coordinates of the light points in the first dot matrix in the light point pair in the visible light image and the light point centering in the second dot pair.
  • the coordinates of the light points in the lattice in the non-visible light image obtain the affine transformation parameters.
  • the processor 130 may use the affine transformation parameters to align the visible light image to the non-visible light image, or align the non-visible light image to the visible light image. So far, the registration of the visible light image and the non-visible light image is completed. After the registration is completed, the processor 130 may execute step 2---fusion.
  • the embodiment of the present application does not limit the manner in which the processor 130 fuses the registered visible light image and the non-visible light image.
  • Low-frequency components represent areas in the image where brightness or grayscale values change slowly, such as flat or main parts of the image.
  • High-frequency components are portions of an image that change drastically, for example, edges (contours), noise, or detail portions of an image.
  • the low-frequency components of the visible-light image and the non-visible-light image are fused at a set first ratio, for example, the first ratio may be a ratio in which the low-frequency component of the visible-light image dominates.
  • the visible light image and the non-visible light image are fused at a set second ratio in the high-frequency domain, for example, the second ratio may be a ratio dominated by high-frequency components of the non-visible light image.
  • the dot-matrix light source 140 is a light source capable of emitting dot-matrix light, that is, the light source can emit multiple parallel light beams.
  • the wavelength of the dot matrix light emitted by the dot matrix light source 140 may be greater than 530 nanometers and less than 750 nanometers, that is, the dot matrix light may be visible light.
  • the wavelength of the lattice light may also be greater than 750 nanometers, that is, in addition to visible light, infrared light may also be included in the lattice light.
  • Both the first lattice and the second lattice include a plurality of light points.
  • the shape formed by the plurality of light spots is related to the shape of the lattice light. For example, as shown in Figure 4A, if multiple parallel light beams in the lattice light are arranged in the shape of a five-pointed star, then the shapes of the first dot matrix in the visible light image and the second dot matrix in the non-visible light image It may also be arranged in the shape of a five-pointed star.
  • the shape of the first lattice in the visible light image and the second lattice in the non-visible light image may also be in the shape of a matrix shape arrangement.
  • the duration of the lattice light projected by the lattice light source 140 may be greater than the photographing time of the visible light photographing structure 110 and the invisible light photographing structure 120, that is, the duration may be equal to or greater than the exposure time of the visible light photographing structure and the invisible light photographing structure 120 Specifically, the duration of the dot-matrix light projected by the dot-matrix light source 140 is less than 80 milliseconds.
  • the method includes:
  • Step 501 After the image capturing device 100 moves or deflects, the visible light capturing structure 110 and the non-visible light capturing structure 120 can capture the same object.
  • the visible light photographing structure 110 and the non-visible light photographing structure 120 can maintain the same exposure time when photographing.
  • the dot matrix light source 140 may project dot matrix light to the target.
  • Step 502 The visible light imaging structure 110 generates a first visible light image, and the non-visible light imaging structure 120 generates a non-first visible light image.
  • the first visible light image includes a first lattice formed by lattice light
  • the first non-visible light image includes a second lattice formed by lattice light.
  • the first group of images is a schematic diagram of the first visible light image and the first non-visible light image.
  • the processor 130 first registers the first visible light image and the first non-visible light image (that is, steps 503 to 504 ), and then fuses the images (step 505 ).
  • Step 503 The processor 130 obtains the first visible light image and the first non-visible light image, and the processor 130 determines that there are corresponding light point pairs according to the first lattice and the second lattice, and obtains the first visible light image and the first non-visible light image Affine transformation parameters required for alignment.
  • Step 504 The processor 130 uses affine transformation parameters to align the first visible light image and the first non-visible light image.
  • the second group of images is a schematic diagram after alignment of the first visible light image and the first non-visible light image.
  • Step 505 The processor 130 fuses the registered first visible light image and the first non-visible light image to obtain a first fused image.
  • the last image is a schematic diagram after fusion of the first visible light image and the first non-visible light image.
  • Steps 501 to 505 are an image capture operation performed after the image capture device 100 moves or deflects. If the subsequent image capture device 100 does not move or deflect, the affine transformation parameters obtained in step 503 can be used to The second visible light image and the second non-visible light image generated during subsequent image capture operations are aligned. See step 506 to step 509 for details.
  • Step 506 The visible light photographing structure 110 and the non-visible light photographing structure 120 can photograph the same object.
  • the visible light photographing structure 110 and the non-visible light photographing structure 120 can maintain the same exposure time when photographing.
  • the dot matrix light source 140 may project dot matrix light to the target.
  • Step 507 The visible light imaging structure 110 generates a second visible light image, and the non-visible light imaging structure 120 generates a non-second visible light image.
  • Step 508 The processor 130 uses affine transformation parameters to align the second visible light image and the second non-visible light image.
  • Step 509 The processor 130 fuses the registered second visible light image and the second non-visible light image to obtain a second fused image.

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Abstract

An image photographing apparatus and an image processing method. In the present image photographing apparatus, after a visible light photographing structure photographs a target, a visible light image is generated, wherein the visible light image comprises a first dot matrix formed by dot matrix light. A non-visible light photographing structure photographs the target to generate a non-visible light image, wherein the non-visible light image comprises a second dot matrix formed by dot matrix light. A processor fuses the visible light image and an infrared light image according to the first dot matrix and the second dot matrix, and outputs a fused image. A visible light image and a non-visible light image are generated by different photographing structures, and the photographing structures are relatively independent, such that the design difficulty of the image photographing apparatus can be reduced. When a processor performs fusion, the fusion can be realized by means of dot matrices on the visible light image and the non-visible light image, such that the fusion difficulty can be reduced, thereby improving the image processing efficiency.

Description

一种图像拍摄装置以及图像处理方法An image capture device and image processing method
相关申请的交叉引用Cross References to Related Applications
本申请要求在2021年08月05日提交中国专利局、申请号为202110898529.X、申请名称为“一种图像拍摄装置以及图像处理方法”的中国专利申请的优先权,其全部内容通过引用结合在本申请中。This application claims the priority of the Chinese patent application with the application number 202110898529.X and the application title "an image capturing device and image processing method" submitted to the China Patent Office on August 5, 2021, the entire contents of which are incorporated by reference in this application.
技术领域technical field
本申请涉及图像处理技术领域,尤其涉及一种图像拍摄装置以及图像处理方法。The present application relates to the technical field of image processing, and in particular to an image capturing device and an image processing method.
背景技术Background technique
在监控的领域,存在许多由于可见光照度不足导致的监控图像不清晰的情况。为了能够减少监控图像不清晰的情况发生,目前可以利用红外补光对所拍摄的目标进行补光的方式,除了生成可见光图像,还可以相应的生成红外图像,之后再利用红外图像和可见光图像融合以获得清晰的监控图像。红外图像一方面可以弥补可见光照度不足导致的图像模糊的缺点,另一方面,红外图像能够涵盖更多细节信息,使得红外图像和可见光图像融合后的图像能够展示更多细节。In the field of surveillance, there are many situations where surveillance images are not clear due to insufficient visible light illumination. In order to reduce the occurrence of unclear monitoring images, infrared supplementary light can be used to supplement light on the captured target. In addition to generating visible light images, infrared images can also be generated accordingly, and then infrared images and visible light images can be fused together. In order to obtain a clear surveillance image. On the one hand, infrared images can make up for the shortcomings of blurred images caused by insufficient visible light illumination. On the other hand, infrared images can cover more detailed information, so that the fusion of infrared images and visible light images can show more details.
目前常见的拍摄装置采用是的单目分光的方式,以分别生成红外图像以及可见光图像。也即采用一个镜头对目标进行拍摄,然后在镜头后方采用分光棱镜将入射光分离为可见光和红外光,之后,可见光以及红外光分别经过不同的传输路线,投射到不同的感光元件上,形成红外光图像和可见光图像。之后再对红外光图像和可见光图像进行融合,获得融合图像。At present, common shooting devices adopt monocular spectroscopic method to generate infrared images and visible light images respectively. That is to say, a lens is used to shoot the target, and then a dichroic prism is used behind the lens to separate the incident light into visible light and infrared light. After that, the visible light and infrared light pass through different transmission routes and are projected onto different photosensitive elements to form infrared light. Light image and visible light image. Afterwards, the infrared light image and the visible light image are fused to obtain a fused image.
单目分光的方式需要同时对红外光以及可见光进行对焦,这样对镜头的对焦性能提出了较大的挑战,也增大了镜头设计难度,不易实现。The method of monocular light splitting needs to focus on infrared light and visible light at the same time, which poses a great challenge to the focusing performance of the lens, and also increases the difficulty of lens design, which is not easy to realize.
发明内容Contents of the invention
本申请提供一种图像拍摄装置以及图像处理方法,用以简化图像拍摄装置设计难度,降低图像融合难度。The present application provides an image capturing device and an image processing method, which are used to simplify the design difficulty of the image capturing device and reduce the difficulty of image fusion.
第一方面,本申请实施例提供了一种图像拍摄装置,该装置包括处理器以及两种不同的拍摄结构。两种不同的拍摄结构分别为可见光拍摄结构以及非可见光拍摄结构。这两种拍摄结构能够对被点阵光投射的目标进行拍摄。In a first aspect, an embodiment of the present application provides an image capturing device, which includes a processor and two different capturing structures. The two different shooting structures are the visible light shooting structure and the non-visible light shooting structure. These two shooting structures can shoot the target projected by the dot matrix light.
其中,可见光拍摄结构在对目标进行拍摄之后,可以生成可见光图像,该可见光图像上包括由点阵光形成的第一点阵。非可见光拍摄结构对目标拍摄,可以生成非可见光图像,该非可见光图像上包括由点阵光形成的第二点阵。Wherein, after the visible light photographing structure photographs the target, it can generate a visible light image, and the visible light image includes a first dot matrix formed by dot matrix light. The non-visible light photographing structure photographs the target to generate a non-visible light image, and the non-visible light image includes a second dot matrix formed by dot matrix light.
处理器能够根据第一点阵和第二点阵,对可见光图像和红外光图像进行融合,输出融合图像。The processor can fuse the visible light image and the infrared light image according to the first lattice and the second lattice, and output a fusion image.
通过上述装置,由不同的拍摄结构生成可见光图像以及非可见光图像,拍摄结构之间相对独立,能够减少图像拍摄装置的设计难度。由于可见光图像以及非可见光图像上均存 在由点阵光形成的点阵(如第一点阵、第二点阵),处理器在进行融合时,能够借助可见光图像以及非可见光图像上的点阵实现融合,能够降低融合难度,提高图像处理效率。Through the above device, the visible light image and the non-visible light image are generated by different photographing structures, and the photographing structures are relatively independent, which can reduce the design difficulty of the image capturing device. Since there are dot matrixes (such as the first dot matrix and the second dot matrix) formed by dot matrix light on both the visible light image and the non-visible light image, the processor can use the dot matrix on the visible light image and the non-visible light image when performing fusion The realization of fusion can reduce the difficulty of fusion and improve the efficiency of image processing.
在一种可能的实施方式中,可见光拍摄结构进行拍摄的时间与非可见光拍摄结构进行拍摄的时间相同。例如,可见光拍摄结构与非可见光拍摄结构可以同时对目标进行拍摄,维持相同的曝光时间。In a possible implementation manner, the shooting time of the visible light shooting structure is the same as the shooting time of the non-visible light shooting structure. For example, the visible light shooting structure and the non-visible light shooting structure can simultaneously shoot the target and maintain the same exposure time.
通过上述装置,可见光拍摄结构与非可见光拍摄结构的曝光时间相同,能够保证生成的可见光图像以及非可见光图像中展示的内容基本相同。Through the above device, the exposure time of the visible light imaging structure and the non-visible light imaging structure is the same, which can ensure that the generated visible light image and the content displayed in the non-visible light image are basically the same.
在一种可能的实施方式中,非可见光可以是红外光,例如本申请中的非可见光的波长可以大于750纳米(nm)。In a possible implementation manner, the non-visible light may be infrared light, for example, the wavelength of the non-visible light in this application may be greater than 750 nanometers (nm).
通过上述装置,非可见光为红外光时,生成的非可见图像为红外图像,红外图像相对于可见光图像能够包含更多细节信息,后续对可见光图像以及红外图像融合生成的融合图像也更加清晰。Through the above device, when the invisible light is infrared light, the generated invisible image is an infrared image, and the infrared image can contain more detailed information than the visible light image, and the fusion image generated by the subsequent fusion of the visible light image and the infrared image is also clearer.
在一种可能的实施方式中,能够提供点阵光的点阵光源可以是外置设备,也可以是内置在图像拍摄装置中的设备。该点阵光源能够向目标投射点阵光。In a possible implementation manner, the dot matrix light source capable of providing dot matrix light may be an external device, or may be a device built into the image capture device. The dot matrix light source can project dot matrix light to the target.
通过上述装置,点阵光源的设置方式较为灵活,能够适用于不同的场景。Through the above device, the setting method of the dot matrix light source is more flexible, and can be applied to different scenes.
在一种可能的实施方式中,处理器在对可见光图像以及非可见光图像进行融合时,可以基于第一点阵和第二点阵之间点与点的对应关系,对可见光图像和非可见光图像进行配准;对配准后的可见光图像和非可见光图像进行融合,生成融合图像。In a possible implementation manner, when the processor fuses the visible light image and the non-visible light image, based on the point-to-point correspondence between the first lattice and the second lattice, the visible light image and the non-visible light image Perform registration; fuse the registered visible light image and non-visible light image to generate a fusion image.
通过上述装置,可见光图像和非可见光图像中的点阵中的光点的排布较为规则,利用可见光图像和非可见光图像中的点阵可以较为便捷的实现配准,配准之后的可见光图像和非可见光图像也能够较好的实现融合,融合方式较为简单。Through the above device, the arrangement of light points in the dot matrix in the visible light image and the non-visible light image is relatively regular, and the registration can be realized more conveniently by using the dot matrix in the visible light image and the non-visible light image. The visible light image and the dot matrix in the non-visible light image after registration Non-visible light images can also be well fused, and the fusion method is relatively simple.
在一种可能的实施方式中,第一点阵和第二点阵包括多个光点,处理器在基于第一点阵和第二点阵之间光点与光点的对应关系,对可见光图像和非可见光图像进行配准时,可以先确定第一点阵和第二点阵中存在对应关系的光点对,存在对应关系的光点对包括一个第一点阵的光点和一个第二点阵的光点,存在对应关系的光点为第一点阵和第二点阵中特征相似程度大于阈值的光点,也即光点对中的光电可以认为是同一光点,或是有点阵光中的同一束光形成的光点;之和,处理器再根据存在对应关系的光点对可见光图像和非可见光图像进行配准。In a possible implementation manner, the first dot matrix and the second dot matrix include a plurality of light points, and the processor calculates the visible light When the image and the non-visible light image are registered, it is possible to first determine the pair of light points that have a corresponding relationship between the first lattice and the second lattice, and the pair of light points that have a corresponding relationship include a light point of the first lattice and a light point of the second For the dots of the dot matrix, the dots that have a corresponding relationship are the dots whose feature similarity is greater than the threshold in the first dot matrix and the second dot matrix. The light spots formed by the same beam of light in the array light; the sum, the processor then registers the visible light image and the non-visible light image according to the corresponding light spots.
通过上述装置,利用存在对应关系的光点对实现配准,能够提升配准的准确度,可以保证后续生成的融合图像的清晰度。By means of the above device, the registration is realized by utilizing the corresponding pairs of light spots, which can improve the accuracy of the registration and ensure the clarity of the subsequently generated fused image.
在一种可能的实施方式中,可见光拍摄结构包括可见光镜头和可见光传感器;可见光镜头捕捉拍摄目标所反射的可见光,将可见光投射到可见光传感器上,也即可将光镜头只通过可见光。可见光传感器感应可见光,生成可见光图像。In a possible implementation, the visible light imaging structure includes a visible light lens and a visible light sensor; the visible light lens captures the visible light reflected by the shooting target, and projects the visible light onto the visible light sensor, that is, the optical lens only passes through the visible light. The visible light sensor senses visible light and generates a visible light image.
非可见光拍摄结构包括非可见光镜头和非可见光传感器;非可见光镜头可以捕捉目标所反射的非可见光,将非可见光投射到非可见光传感器上。非可见光传感器感应非可见光,生成非可见光图像。The non-visible light shooting structure includes a non-visible light lens and a non-visible light sensor; the non-visible light lens can capture the non-visible light reflected by the target, and project the non-visible light onto the non-visible light sensor. The non-visible light sensor senses non-visible light and generates non-visible light images.
通过上述装置,可见光拍摄结构和非可见光拍摄结构中分别包括镜头以及传感器,相对独立,可见光拍摄结构和非可见光拍摄结构之间无需共焦,能够降低这两种拍摄结构的构建难度。Through the above device, the visible light shooting structure and the non-visible light shooting structure respectively include a lens and a sensor, which are relatively independent. There is no need for confocal between the visible light shooting structure and the non-visible light shooting structure, which can reduce the construction difficulty of the two shooting structures.
在一种可能的实施方式中,可见光拍摄结构还包括红外补光灯;红外补光灯可以在可 见光拍摄结构进行拍摄时向目标投射红外光。In a possible implementation, the visible light shooting structure further includes an infrared fill light; the infrared fill light can project infrared light to the target when the visible light shooting structure is shooting.
通过上述装置,红外补光灯能够投射红外光,以保证非可见光拍摄结构所生成的红外图像的清晰度。Through the above device, the infrared supplementary light can project infrared light to ensure the clarity of the infrared image generated by the non-visible light shooting structure.
在一种可能的实施方式中,可见光镜头或非可见光镜头可以为定焦镜头,也可以为变焦镜头。In a possible implementation manner, the visible light lens or the non-visible light lens may be a fixed-focus lens or a zoom lens.
通过上述装置,可见光镜头或非可见光镜头的类型较为灵活,可见光拍摄结构和非可见光拍摄结构可以存在多种不同的组建方式。Through the above device, the type of the visible light lens or the non-visible light lens is relatively flexible, and there may be many different building methods for the visible light shooting structure and the non-visible light shooting structure.
在一种可能的实施方式中,点阵光的波长覆盖可见光波段和红外光波段,这样,可以同时在可见光图像和非可见光图像中形成点阵。In a possible implementation manner, the wavelength of the dot matrix light covers the visible light band and the infrared light band, so that the dot matrix can be formed in the visible light image and the non-visible light image at the same time.
在一种可能的实施方式中,点阵光的波长也可以只覆盖可见光波段,如大于560nm,小于750nm。在这种情况下,可见光镜头可以为只通过可见光的镜头,非可见光镜头可以为既能够通过可见光又能通过非可见光的图像,这样,可见光图像和非可见光图像中均可形成点阵。In a possible implementation manner, the wavelength of the lattice light may also only cover the visible light band, such as greater than 560 nm and less than 750 nm. In this case, the visible light lens can be a lens that only passes visible light, and the non-visible light lens can be an image that can pass both visible light and non-visible light. In this way, a dot matrix can be formed in both the visible light image and the non-visible light image.
在一种可能的实施方式中,点阵光的投射持续时间小于80毫秒,点阵光的投射时间小,不会影响后续图像拍摄装置的拍摄。In a possible implementation manner, the projection duration of the dot matrix light is less than 80 milliseconds, and the projection time of the dot matrix light is short, which will not affect the shooting of subsequent image capture devices.
第二方面,本申请实施例提供了一种图像处理方法,该图像处理方法可以由图像拍摄装置执行,具体有益效果可以参见第一方面中的相关说明。In the second aspect, the embodiment of the present application provides an image processing method, which can be executed by an image capturing device. For specific beneficial effects, please refer to the relevant description in the first aspect.
图像拍摄装置中的可见光拍摄结构和非可见光拍摄结构可以对被点阵光投射的目标进行拍摄,可见光拍摄结构生成可见光图像,可见光图像上包括由点阵光形成的第一点阵。非可见光拍摄结构生成非可见光图像,非可见光图像上包括由点阵光形成的第二点阵。The visible light shooting structure and the non-visible light shooting structure in the image shooting device can shoot the target projected by the lattice light, the visible light shooting structure generates a visible light image, and the visible light image includes the first dot matrix formed by the lattice light. The non-visible light photographing structure generates a non-visible light image, and the non-visible light image includes a second lattice formed by lattice light.
图像拍摄装置中的处理器可以根据第一点阵和第二点阵,对可见光图像和非可见光图像进行融合,输出融合图像。The processor in the image capture device can fuse the visible light image and the non-visible light image according to the first dot matrix and the second dot matrix, and output a fusion image.
一种可能的实施方式中,可见光拍摄结构进行拍摄的时间与非可见光拍摄结构进行拍摄的时间相同。In a possible implementation manner, the shooting time of the visible light shooting structure is the same as that of the non-visible light shooting structure.
在一种可能的实施方式中,非可见光是红外光。In a possible implementation manner, the non-visible light is infrared light.
在一种可能的实施方式中,处理器在根据第一点阵和第二点阵,对可见光图像和非可见光图像进行融合,输出融合图像时,可以基于第一点阵和第二点阵之间光点与光点的对应关系,对可见光图像和非可见光图像进行配准;之后,再对配准后的可见光图像和非可见光图像进行融合,生成融合图像。In a possible implementation manner, when the processor fuses the visible light image and the non-visible light image according to the first lattice and the second lattice, and outputs the fused image, it may According to the corresponding relationship between light points and light points, the visible light image and the non-visible light image are registered; after that, the registered visible light image and non-visible light image are fused to generate a fusion image.
在一种可能的实施方式中,第一点阵和第二点阵包括多个光点,处理器在基于第一点阵和第二点阵之间光点与光点的对应关系,对可见光图像和非可见光图像进行配准时,可以先确定第一点阵和第二点阵中存在对应关系的光点对,存在对应关系的光点对包括一个第一点阵的光点和一个第二点阵的光点,存在对应关系的光点为第一点阵和第二点阵中特征相似程度大于阈值的光点;之后,根据存在对应关系的光点对可见光图像和非可见光图像进行配准。In a possible implementation manner, the first dot matrix and the second dot matrix include a plurality of light points, and the processor calculates the visible light When the image and the non-visible light image are registered, it is possible to first determine the pair of light points that have a corresponding relationship between the first lattice and the second lattice, and the pair of light points that have a corresponding relationship include a light point of the first lattice and a light point of the second For the light points of the lattice, the light points with a corresponding relationship are the light points with a feature similarity greater than the threshold in the first lattice and the second lattice; after that, the visible light image and the non-visible light image are matched according to the light points with the corresponding relationship. allow.
在一种可能的实施方式中,处理器在根据存在对应关系的光点对可见光图像和非可见光图像进行配准时,可以根据存在对应关系的光点获得仿射变换参数,之后,再利用仿射变换参数对可见光图像和非可见光图像进行配准。In a possible implementation manner, when the processor registers the visible light image and the non-visible light image according to the corresponding light points, it can obtain the affine transformation parameters according to the corresponding light points, and then use the affine The transformation parameters register the visible and non-visible images.
在一种可能的实施方式中,图像拍摄装置中的可见光拍摄结构和非可见光拍摄结构后续若再对目标(后续拍摄时,该目标上可以不再投射点阵光)进行拍摄时,生成了新的可 见光图像以及新的非可见光图像(新的可见光图像以及新的非可见光图像上可以不存在点阵)。图像拍摄装置中的处理器可以根据之前确定的仿射变换参数对新的可见光图像和新的红外图像进行配准,之后,再对配准后的可见光图像和红外光图像进行融合,输出融合图像。In a possible implementation, if the visible light shooting structure and the non-visible light shooting structure in the image shooting device subsequently shoot a target (during subsequent shooting, the target may no longer project dot matrix light), a new The visible light image and the new non-visible light image (dot matrix may not exist on the new visible light image and the new non-visible light image). The processor in the image capture device can register the new visible light image and the new infrared image according to the previously determined affine transformation parameters, and then fuse the registered visible light image and infrared light image to output a fused image .
附图说明Description of drawings
图1为本申请提供的一种图像拍摄装置的结构示意图;FIG. 1 is a schematic structural diagram of an image capturing device provided by the present application;
图2为本申请提供的一种可见光拍摄结构的结构示意图;FIG. 2 is a schematic structural diagram of a visible light shooting structure provided by the present application;
图3为本申请提供的一种非可见光拍摄结构的结构示意图;Fig. 3 is a structural schematic diagram of a non-visible light shooting structure provided by the present application;
图4A~图4B为本申请提供的一种点阵光、第一点阵以及第二点阵的示意图;4A to 4B are schematic diagrams of a dot matrix light, a first dot matrix and a second dot matrix provided by the present application;
图5为本申请提供的一种图像处理方法示意图;FIG. 5 is a schematic diagram of an image processing method provided by the present application;
图6为本申请提供的一种图像处理过程中所产生的各个图像的示意图。FIG. 6 is a schematic diagram of various images generated during an image processing process provided by the present application.
具体实施方式Detailed ways
如图1所示,本申请实施例提供了一种图像拍摄装置,该图像拍摄装置100包括两种不同的拍摄结构和处理器130。As shown in FIG. 1 , an embodiment of the present application provides an image capturing device, and the image capturing device 100 includes two different capturing structures and a processor 130 .
该两种不同的拍摄结构均能够对目标进行拍摄,其中一种拍摄结构用于生成可见光图像,另一种拍摄结构用于生成非可见光图像。为了方便说明,这里将用于生成可见光图像的拍摄结构称为可见光拍摄结构110,用于生成非可光图像的拍摄结构称为非可见光拍摄结构120。The two different shooting structures are capable of shooting the target, one of which is used to generate visible light images, and the other shooting structure is used to generate non-visible light images. For the convenience of description, the photographing structure for generating visible light images is referred to as the visible light photographing structure 110 , and the photographing structure for generating non-light images is referred to as the non-visible light photographing structure 120 .
可见光拍摄结构110以及非可见光拍摄结构120所拍摄的目标为被点阵光所投射的目标。在本申请实施例中点阵光包括多个平行光束,该多个平行光束按照特定的规律或按照特定的图形排布。例如,该多个平行光束可以以矩阵(也即相邻光束的距离相同)的形式排布。又例如,该多个平行光束可以形成五角星或六边形。The objects photographed by the visible light photographing structure 110 and the invisible light photographing structure 120 are the objects projected by the dot matrix light. In the embodiment of the present application, the dot matrix light includes multiple parallel light beams, and the multiple parallel light beams are arranged according to a specific rule or a specific pattern. For example, the multiple parallel light beams may be arranged in a matrix (that is, the distance between adjacent light beams is the same). For another example, the multiple parallel light beams may form a five-pointed star or a hexagon.
需要说明的是,在本申请实施例中可见光拍摄结构110以及非可见光拍摄结构120所拍摄的目标并不局限于人、动植物或景物,也可以是生活场所(如写字楼、大厦、办公区域)、风景、建筑,还可以是交通道路等,凡是能够进行拍摄的目标均适用于本申请实施例。It should be noted that in the embodiment of the present application, the objects photographed by the visible light photographing structure 110 and the non-visible light photographing structure 120 are not limited to people, animals, plants or scenery, but also living places (such as office buildings, buildings, office areas) , landscapes, buildings, traffic roads, etc., all objects that can be photographed are applicable to this embodiment of the application.
由于目标被点阵光所投射,该点阵光也将反映在可见光拍摄结构110以及非可见光拍摄结构120所生成的图像上,在可见光拍摄结构110生成的可见光图像上会存在由点阵光形成的点阵。为了区分可见光图像上的点阵和非可见光图像上的点阵,将可见光图像上的点阵称为第一点阵,将非可见光图像上的点阵称为第二点阵。Since the target is projected by the lattice light, the lattice light will also be reflected on the images generated by the visible light photographing structure 110 and the invisible light photographing structure 120 , and there will be some objects formed by the lattice light on the visible light image generated by the visible light photographing structure 110 . dot matrix. In order to distinguish the dot matrix on the visible light image from the dot matrix on the non-visible light image, the dot matrix on the visible light image is called the first dot matrix, and the dot matrix on the non-visible light image is called the second dot matrix.
在可见光拍摄结构110和非可见光拍摄结构120对目标进行拍摄,生成可见光图像以及非可见光图像之后,处理器130可以根据第一点阵以及第二点阵对该可见光图像以及非可见光图像进行融合,生成融合图像。After the visible light imaging structure 110 and the non-visible light imaging structure 120 photograph the target and generate the visible light image and the non-visible light image, the processor 130 can fuse the visible light image and the non-visible light image according to the first lattice and the second lattice, Generate a fused image.
可选的,该图像拍摄装置100中还可以包括能够产生点阵光的点阵光光源140,该点阵光光源140能够向目标或者目标所在的场景中投射点阵光,使得点阵光能够覆盖目标。这里需要说明的是点阵光的覆盖范围中除了目标,还可以包括目标所在场景中的其他事物,点阵光的覆盖范围与点阵光源的投射范围有关。Optionally, the image capture device 100 may also include a dot matrix light source 140 capable of generating dot matrix light. Coverage target. What needs to be explained here is that in addition to the target, the coverage of the dot matrix light can also include other things in the scene where the target is located. The coverage of the dot matrix light is related to the projection range of the dot matrix light source.
在本申请实施例中处理器130在对可见光图像和红外光图像进行融合时,可以借助非可见光图像中的第一点阵以及可见光图像中第二点阵,第一点阵和第二点阵的存在能够有效减少图像融合难度,使得可见光图像和红外光图像能够实现较为准确、有效的图像融合,融合图像的效果也较佳。In the embodiment of the present application, when the processor 130 fuses the visible light image and the infrared light image, it can use the first dot matrix in the non-visible light image and the second dot matrix in the visible light image, the first dot matrix and the second dot matrix The existence of can effectively reduce the difficulty of image fusion, so that visible light images and infrared light images can achieve more accurate and effective image fusion, and the effect of fusion images is also better.
下面对该图像拍摄装置100中的各个组成部分进行进一步说明:Each component in the image capture device 100 is further described below:
(1)、可见光拍摄结构110。(1) Visible light imaging structure 110 .
如图2所示,该可见光拍摄结构110中包括可见光镜头111以及可见光传感器112。可见光传感器112可以位于可见光镜头111的出光侧,也即该可见光传感器112可以位于该可见光镜头111输出光的一侧。在本申请实施例中可见光是指波长大于580纳米到750纳米的光。As shown in FIG. 2 , the visible light shooting structure 110 includes a visible light lens 111 and a visible light sensor 112 . The visible light sensor 112 may be located at the light output side of the visible light lens 111 , that is, the visible light sensor 112 may be located at the light output side of the visible light lens 111 . In the embodiment of the present application, visible light refers to light with a wavelength greater than 580 nm to 750 nm.
在本申请实施例中并不限定可见光镜头111以及可见光传感器112的具体位置,例如,可见光镜头111以及可见光传感器112可以沿着光轴设置。又例如,在可见光拍摄装置可以包括透镜,该透镜以改变可见光镜头111汇聚后的可见光的传播方向,使得该可见光镜头111汇聚后的可见光能够投射到可见光传感器112上。对于任一可见光镜头111以及可见光传感器112的设置方式,若该设置方式能够达到可见光镜头111汇聚后的可见光能够投射到可见光传感器112的效果,则该设置方式适用于本申请实施例。The specific positions of the visible light lens 111 and the visible light sensor 112 are not limited in the embodiment of the present application, for example, the visible light lens 111 and the visible light sensor 112 may be arranged along the optical axis. For another example, the visible light shooting device may include a lens to change the propagation direction of the visible light collected by the visible light lens 111 , so that the visible light collected by the visible light lens 111 can be projected onto the visible light sensor 112 . For any arrangement of the visible light lens 111 and the visible light sensor 112, if the arrangement can achieve the effect that the visible light collected by the visible light lens 111 can be projected to the visible light sensor 112, then this arrangement is applicable to the embodiment of the present application.
可见光镜头111能够捕捉目标所反射的可见光(该可见光还包括投射在目标上的点阵光所反射的光),对目标所反射的可见光进行汇聚,投射到可见光传感器112上。该可见光镜头111可以为定焦镜头,也可以为变焦镜头。The visible light lens 111 can capture the visible light reflected by the target (the visible light also includes the light reflected by the dot light projected on the target), gather the visible light reflected by the target, and project it onto the visible light sensor 112 . The visible light lens 111 may be a fixed-focus lens or a zoom lens.
可见光传感器112也可以称为图像传感器或者感光元件,可见光传感器112能够实现光电转换,感应投射到该可见光传感器112上的光(这里主要是指可见光),将该光转换为对应的电信号,进而利用电信号产生可见光图像。本申请实施例并不限定可见光传感器112的类型,该可见光传感器112可以为电荷耦合器件(charge coupled device,CCD)、互补金属氧化物半导体(complementary metal-oxide semiconductor,CMOS)。The visible light sensor 112 can also be called an image sensor or a photosensitive element. The visible light sensor 112 can realize photoelectric conversion, sense the light projected on the visible light sensor 112 (here mainly refers to visible light), convert the light into a corresponding electrical signal, and then Visible light images are generated using electrical signals. The embodiment of the present application does not limit the type of the visible light sensor 112, and the visible light sensor 112 may be a charge coupled device (charge coupled device, CCD) or a complementary metal-oxide semiconductor (complementary metal-oxide semiconductor, CMOS).
需要说明的是,在可见光拍摄结构110中,可见光镜头111只通过可见光,能够对目标所反射的非可见光可以进行过滤,去除掉目标所反射的非可见光,保留可见光,也即该可见光镜头111对目标所反射的可见光进行汇聚后,投射到可见光传感器112上的光为可见光。本申请实施例并不限定可见光镜头111过滤非可见光的方式,例如,可见光镜头111上增加滤光片,该滤光片能够过滤非可见光,如红外光。又例如,可见光镜头111上可镀有能够过滤非可见光的滤光膜。It should be noted that in the visible light shooting structure 110, the visible light lens 111 can only pass through visible light, and can filter the non-visible light reflected by the target, remove the non-visible light reflected by the target, and keep the visible light, that is, the visible light lens 111 can After the visible light reflected by the target is converged, the light projected onto the visible light sensor 112 is visible light. The embodiment of the present application does not limit the manner in which the visible light lens 111 filters non-visible light. For example, a filter is added to the visible light lens 111, and the filter can filter non-visible light, such as infrared light. For another example, the visible light lens 111 may be coated with a filter film capable of filtering non-visible light.
(2)、非可见光拍摄结构120。(2) The non-visible light photographing structure 120 .
如图3所示,该非可见光拍摄结构120中包括非可见光镜头121以及非可见光传感器122。非可见光传感器122可以位于非可见光镜头121的出光侧,也即该非可见光传感器122可以位于该非可见光镜头121输出光的一侧。在本申请实施例中非可见光可以包括除可见光之外的其他所有光或部分光。例如非可见光可以特指红外光(波长范围大于0.75微米,小于1000微米的光),也可以包括红外光以及其他非可见光。As shown in FIG. 3 , the non-visible light shooting structure 120 includes a non-visible light lens 121 and a non-visible light sensor 122 . The non-visible light sensor 122 may be located at the light output side of the non-visible light lens 121 , that is, the non-visible light sensor 122 may be located at the light output side of the non-visible light lens 121 . In the embodiment of the present application, the non-visible light may include all light or part of light except visible light. For example, non-visible light may specifically refer to infrared light (light with a wavelength range greater than 0.75 microns and less than 1000 microns), and may also include infrared light and other non-visible light.
在本申请实施例中并不限定非可见光镜头121以及非可见光传感器122的具体位置,非可见光镜头121以及非可见光传感器122的位置设置方式与可见光镜头111以及可见光传感器112的位置设置方式类似,具体可以参见前述说明。In the embodiment of the present application, the specific positions of the non-visible light lens 121 and the non-visible light sensor 122 are not limited. See the above description.
非可见光镜头121能够捕捉目标所反射的非可见光以及投射在目标上的点阵光所反射 的光,对目标所反射的非可见光以及投射在目标上的点阵光所反射的光进行汇聚,投射到非可见光传感器122上。该非可见光镜头121可以为定焦镜头,也可以为变焦镜头。The non-visible light lens 121 can capture the non-visible light reflected by the target and the light reflected by the dot matrix light projected on the target, gather the non-visible light reflected by the target and the light reflected by the dot matrix light projected on the target, and project to the invisible light sensor 122. The non-visible light lens 121 may be a fixed-focus lens or a zoom lens.
非可见光传感器122和可见光传感器112类似,具体可以参见前述说明。这里需要说明的是,非可见光镜头121能够将非可见光以及投射在目标上的点阵光所反射的光投射到非可见光传感器122。非可见光传感器122可以感应非可见光以及投射在目标上的点阵光所反射的光,将感应到的非可见光转换为对应的电信号,进而利用电信号产生非可见光图像。The invisible light sensor 122 is similar to the visible light sensor 112 , and details can be referred to the foregoing description. It should be noted here that the non-visible light lens 121 can project the non-visible light and the light reflected by the dot light projected on the target to the non-visible light sensor 122 . The invisible light sensor 122 can sense the invisible light and the light reflected by the dot light projected on the target, convert the sensed invisible light into a corresponding electrical signal, and then use the electrical signal to generate an invisible light image.
可选的,为了能够使得非可见光拍摄结构120的拍摄效果更佳,如图3所示,该非可见光拍摄结构120中还可以包括红外补光灯123,红外补光灯123内置在可见光拍摄结构110中。该红外补光灯123能够发射红外光,当非可见光拍摄结构120在对目标进行拍摄时,红外补光灯123可以打开,将红外光投射到目标上。这样,非可见光镜头121将会捕捉到大量的红外光,大量的红外光经过非可见光镜头121的汇聚,投射到非可见光传感器122上,非可见光传感器122能够实现光电转换,所生成的非可见光图像更加清晰,也能够覆盖目标上更多的细节信息。当然,在一些可能的场景中,红外补光灯123也可以外置的,如设置在整个图像拍摄装置100之外。Optionally, in order to make the shooting effect of the non-visible light shooting structure 120 better, as shown in FIG. 110 in. The infrared supplementary light 123 can emit infrared light, and when the invisible light shooting structure 120 is photographing a target, the infrared supplementary light 123 can be turned on to project the infrared light onto the target. In this way, the non-visible light lens 121 will capture a large amount of infrared light, and a large amount of infrared light will be converged by the non-visible light lens 121 and projected onto the non-visible light sensor 122. The non-visible light sensor 122 can realize photoelectric conversion, and the generated non-visible light image It is clearer and can cover more detailed information on the target. Of course, in some possible scenarios, the infrared supplementary light 123 can also be installed externally, such as being arranged outside the entire image capture device 100 .
在本申请实施例中,非可见光拍摄结构120以及可见光拍摄结构110存在两种可能的实现方式。In the embodiment of the present application, there are two possible implementations of the non-visible light photographing structure 120 and the visible light photographing structure 110 .
方式一、可见光拍摄结构110中的可见光镜头111与非可见光拍摄结构120的非可见光镜头121不同,非可见光传感器122和可见光传感器112可以相同。Method 1: The visible light lens 111 in the visible light shooting structure 110 is different from the non-visible light lens 121 of the non-visible light shooting structure 120 , and the non-visible light sensor 122 and the visible light sensor 112 may be the same.
在这种实现方式中,可见光拍摄结构110中的可见光镜头111可以过滤非可见光,保留可见光。而非可见光镜头121,区别与可见光镜头111,能够捕捉的光包括非可见光。可选的,非可见光镜头121能够捕捉的光还可以包括可见光。在前述关于可见光镜头111的描述可知,可见光镜头111可以过滤非可见光,如通过设置滤光片或在可见光镜头111上镀膜的方式达到能够过滤非可见光的效果,那么不设置滤光片或者镜头上不镀能够过滤非可见光的滤光膜的镜头可以作为非可见光镜头121。In this implementation manner, the visible light lens 111 in the visible light shooting structure 110 can filter non-visible light and retain visible light. The non-visible light lens 121 is different from the visible light lens 111 in that the light that can be captured includes non-visible light. Optionally, the light that can be captured by the non-visible light lens 121 may also include visible light. It can be seen from the foregoing description about the visible light lens 111 that the visible light lens 111 can filter non-visible light, such as by setting a filter or coating the visible light lens 111 to achieve the effect of filtering non-visible light, then without setting a filter or on the lens A lens that is not coated with a filter film capable of filtering non-visible light can be used as the non-visible light lens 121 .
在这种实现方式中,非可见光传感器122和可见光传感器112可以是相同的感光元件,该感光元件能够感应投射到感光元件上的光,这里投射到感光元件上的光可以是非可见光,也可以是可见光。In this implementation, the invisible light sensor 122 and the visible light sensor 112 can be the same photosensitive element, and the photosensitive element can sense the light projected onto the photosensitive element. Here, the light projected onto the photosensitive element can be invisible light or visible light.
在这种实现方式中,点阵光的波长范围可以只覆盖可见光,例如点阵光的波长大于560纳米,小于750纳米,这样无论在可见光图像还是在非可见光图像上均可以形成点阵。可选的,点阵光的波长范围也可以覆盖非可见光,也即点阵光的波长大于560纳米。在覆盖点阵光的波长范围覆盖非可见光和可见光的情况下,在可见光图像还是在非可见光图像上也同样可以形成点阵。In this implementation, the wavelength range of the lattice light can only cover visible light, for example, the wavelength of the lattice light is greater than 560 nanometers and less than 750 nanometers, so that the lattice can be formed on both visible light images and non-visible light images. Optionally, the wavelength range of the lattice light may also cover non-visible light, that is, the wavelength of the lattice light is greater than 560 nanometers. In the case where the wavelength range of the dot matrix light covers non-visible light and visible light, the dot matrix can also be formed on the visible light image or the non-visible light image.
方式二、可见光拍摄结构110中的可见光传感器112与非可见光拍摄结构120的非可见传感器不同,非可见光镜头121和可见光镜头111可以相同。Method 2: The visible light sensor 112 in the visible light photographing structure 110 is different from the invisible sensor of the invisible light photographing structure 120 , and the invisible light lens 121 and the visible light lens 111 may be the same.
在这种实现方式中,可见光传感器112可以只感应投射在可见光传感器112上的可见光,而不感应非可见光。非可见光传感器122可以只感应投射在非可见光传感器122上的非可见光,而不感应可见光。In this implementation manner, the visible light sensor 112 can only sense visible light projected on the visible light sensor 112 , but not non-visible light. The invisible light sensor 122 may only sense invisible light projected on the invisible light sensor 122 instead of visible light.
非可见光镜头121和可见光镜头111可以是相同的镜头,例如非可见光镜头121和可见光镜头111是不过滤非可见光的镜头。非可见光镜头121和可见光镜头111可以是不同 的镜头,例如非可见光镜头121可以是不过滤非可见光的镜头(如不设置滤光片或不镀滤光膜的镜头),可见光镜头111是过滤非可见光的镜头(如设置滤光片或镀滤光膜的镜头)。The non-visible light lens 121 and the visible light lens 111 may be the same lens, for example, the non-visible light lens 121 and the visible light lens 111 are lenses that do not filter non-visible light. The non-visible light lens 121 and the visible light lens 111 can be different lenses, for example, the non-visible light lens 121 can be a lens that does not filter non-visible light (such as a lens that is not provided with a filter or is not plated with a filter film), and the visible light lens 111 is a filter that does not filter non-visible light. A lens for visible light (such as a lens with a filter or a filter coating).
在这种实现方式中,点阵光的波长范围可以覆盖可见光和非可见光,例如点阵光的波长大于560纳米,这样无论在可见光图像还是在非可见光图像上均可以形成点阵。In this implementation, the wavelength range of the dot matrix light can cover visible light and non-visible light, for example, the wavelength of the dot matrix light is greater than 560 nanometers, so that the dot matrix can be formed on both visible light images and non-visible light images.
无论采用哪一种实现方式,该图像拍摄装置100在对目标进行拍摄时,可见光拍摄结构110以及非可见光拍摄结构120可以在同一时刻或相近时刻(相近时刻是指时间差小于阈值的时间)对该目标进行拍摄,以分别产生同一时刻或相近时刻下的可见光图像以及非可见光图像。可见光拍摄结构110以及非可见光拍摄结构120的拍摄时间可以相同,也即可以保持相同的曝光时长。这样,可以保证生成的可见光图像和非可见光图像所涵盖的信息相同。No matter which implementation is adopted, when the image capture device 100 captures a target, the visible light capture structure 110 and the non-visible light capture structure 120 can capture the object at the same time or at a similar time (a similar time refers to a time when the time difference is less than a threshold) The target is photographed to generate a visible light image and a non-visible light image at the same time or a similar time. The shooting time of the visible light shooting structure 110 and the non-visible light shooting structure 120 may be the same, that is, the same exposure time may be maintained. In this way, it can be guaranteed that the generated visible light image and the non-visible light image cover the same information.
(3)、处理器130。(3). The processor 130.
本申请实施例并不限定该处理器130的具体类型,该处理器130是中央处理器(central processing unit,CPU)、专用集成电路(application specific integrated circuit,ASIC)、现场可编程门阵列(field programmable gate array,FPGA)、人工智能(artificial intelligence,AI)芯片、片上系统(system on chip,SoC)或复杂可编程逻辑器件(complex programmable logic device,CPLD),图形处理器(graphics processing unit,GPU)等。凡是能够对图像进行处理,实现图像融合的处理器均适用于本申请实施例。The embodiment of the present application does not limit the specific type of the processor 130, the processor 130 is a central processing unit (central processing unit, CPU), an application specific integrated circuit (application specific integrated circuit, ASIC), a field programmable gate array (field programmable gate array, FPGA), artificial intelligence (artificial intelligence, AI) chip, system on chip (system on chip, SoC) or complex programmable logic device (complex programmable logic device, CPLD), graphics processing unit (graphics processing unit, GPU )wait. Any processor capable of processing images and realizing image fusion is applicable to the embodiments of the present application.
在本申请实施例中,处理器130对可见光图像和非可见光图像进行融合时,可以借助可见光图像中的第一点阵和非可见光图像中的第二点阵实现对可见光图像和非可见光图像的融合。In the embodiment of the present application, when the processor 130 fuses the visible light image and the non-visible light image, the first dot matrix in the visible light image and the second dot matrix in the non-visible light image can be used to realize the fusion of the visible light image and the non-visible light image. fusion.
处理器130在获得融合图像的过程中包括两个步骤,第一个步骤是先对可见光图像和非可见光图像进行配准,第二个步骤是将配准后的可见光图像和非可见光图像进行融合,获得融合图像。Processor 130 includes two steps in the process of obtaining the fused image. The first step is to first register the visible light image and the non-visible light image, and the second step is to fuse the registered visible light image and the non-visible light image. , to obtain a fused image.
步骤一、配准。Step 1. Registration.
在本申请实施例中,配准(registration)是将可见光图像和非可见光图像进行匹配、叠加。在进行配准时,首先对可见光图像和非可见光图像进行特征提取得到特征点;通过对特性相似程度的度量找到存在对应关系的特征点对;然后通过存在对应关系的特征点对得到仿射变换参数;之后,利用仿射变换参数对可见光图像和非可见光图像进行对齐。其中,仿射变换是指两个二维空间之间的变化,仿射变换参数是实现一个二维空间变化为到另一个二维空间的参数。在本申请实施例中,一个图像可以表示一个二维空间,这样,本申请实施例中利用存在对应关系的特征点对得到的仿射变换参数是实现可见光图像变换到非可见光图像的参数,或非见光图像变换到可见光图像的参数。In the embodiment of the present application, the registration (registration) is to match and superimpose the visible light image and the non-visible light image. When performing registration, first extract features from the visible light image and the non-visible light image to obtain the feature points; find the corresponding feature point pairs by measuring the similarity of the characteristics; then obtain the affine transformation parameters through the corresponding feature point pairs ; Afterwards, the visible light image and the non-visible light image are aligned using the affine transformation parameters. Wherein, the affine transformation refers to a change between two two-dimensional spaces, and the affine transformation parameter is a parameter for realizing a change from one two-dimensional space to another two-dimensional space. In the embodiment of the present application, an image can represent a two-dimensional space. In this way, in the embodiment of the present application, the affine transformation parameters obtained by using the corresponding feature point pairs are the parameters for realizing the transformation from the visible light image to the non-visible light image, or Parameters for converting non-visible light images to visible light images.
配准的关键在于能够找到存在对应关系的特征点对,由于本申请实施例中可见光图像和非可见光图像中均存在点阵,处理器130可以借助第一点阵和第二点阵,找到存在对应关系的光点对。之后,处理器130利用该光点获得仿射变换参数。The key to registration is to be able to find feature point pairs that have a corresponding relationship. Since there are lattices in both the visible light image and the non-visible light image in the embodiment of the present application, the processor 130 can use the first lattice and the second lattice to find the pairs of feature points that exist. Corresponding pairs of light spots. Afterwards, the processor 130 obtains affine transformation parameters using the light point.
处理器130在进行配准时,可以直接利用第一点阵和第二点阵中的光点找到存在对应关系的光点对。也可以先对可见光图像和非可见光图像进行边缘对齐,也即先对第一点阵和第二点阵中的光点中位于图像边缘的光点进行对齐,找到存在对应关系的光点对,之后再利用第一点阵和第二点阵的其余光点找到存在对应关系的光点对。When performing registration, the processor 130 may directly use the light points in the first dot matrix and the second dot matrix to find a corresponding light point pair. It is also possible to perform edge alignment on the visible light image and the non-visible light image first, that is, to first align the light spots located on the edge of the image among the light spots in the first dot matrix and the second dot matrix, and find the corresponding light dot pairs. Then use the remaining light points of the first lattice and the second lattice to find pairs of light points that have a corresponding relationship.
处理器130可以分析见第一点阵中的光点和第二点阵的光点,确定第一点阵和第二点 阵中存在对应关系的光点对。第一点阵和第二点阵中可能存在一个或多个存在对应关系的光点对。一个存在对应关系的光点对中包括两个光点,一个是第一点阵中的光点,一个是第二点阵中的光点。这两个光点之所以存在对应关系是因为这两个光点的图像特征相似程度大于阈值。也就是说,存在对应关系的光点为第一点阵和第二点阵中特征相似程度大于阈值的光点。The processor 130 may analyze the light points in the first dot matrix and the light dots in the second dot matrix, and determine the light dot pairs corresponding to the first dot matrix and the second dot matrix. There may be one or more corresponding light point pairs in the first dot matrix and the second dot matrix. A corresponding light point pair includes two light points, one is a light point in the first dot matrix, and the other is a light dot in the second dot matrix. The reason why the two light points have a corresponding relationship is that the similarity degree of the image features of the two light points is greater than a threshold. That is to say, the corresponding light points are the light points whose feature similarity in the first lattice and the second lattice is greater than a threshold.
处理器130可以采用图像分析算法从第一点阵中的光点和第二点阵中光点中确定第一点阵和第二点阵中存在对应关系的光点。这里的图像分析算法包括但不限于尺度不变特征变换(scale-invariant feature transform,SIFT),OPB(oriented FAST and rotated BRIEF)、加速稳健特征(speeded up robust features,SURF)。The processor 130 may use an image analysis algorithm to determine, from the light points in the first dot matrix and the light points in the second dot matrix, the dots in the first dot matrix and the second dot matrix that have a corresponding relationship. The image analysis algorithms here include but are not limited to scale-invariant feature transform (SIFT), OPB (oriented FAST and rotated BRIEF), accelerated robust features (speeded up robust features, SURF).
以SIFT算法为例,SHIFT算法能够分析第一点阵中的光点和第二点阵中光点的点阵,找到第一点阵中的光点和第二点阵中光点之间的对应关系,进而确定存在对应关系的光点对。Taking the SIFT algorithm as an example, the SHIFT algorithm can analyze the light points in the first lattice and the light points in the second lattice, and find the distance between the light points in the first lattice and the light points in the second lattice. Correspondence, and then determine the pair of light points that have a correspondence.
处理器130在确定了第一点阵和第二点阵中存在对应关系的光点对后,利用光点对中第一点阵中光点在可见光图像中的坐标以及光点对中第二点阵中光点在非可见光图像中的坐标获得仿射变换参数。After the processor 130 determines the corresponding light point pairs in the first dot matrix and the second dot matrix, use the coordinates of the light points in the first dot matrix in the light point pair in the visible light image and the light point centering in the second dot pair. The coordinates of the light points in the lattice in the non-visible light image obtain the affine transformation parameters.
处理器130在确定了仿射变换参数后,可以利用仿射变换参数将可见光图像对齐到非可见光图像,也可以将非可见光图像对齐到可见光图像中。至此,完成了可见光图像和非可见光图像的配准。在完成配准之后,处理器130可以执行步骤二---融合。After determining the affine transformation parameters, the processor 130 may use the affine transformation parameters to align the visible light image to the non-visible light image, or align the non-visible light image to the visible light image. So far, the registration of the visible light image and the non-visible light image is completed. After the registration is completed, the processor 130 may execute step 2---fusion.
步骤二、融合。Step two, fusion.
本申请实施例并不限定处理器130对配准后的可见光图像和非可见光图像进行融合的方式。The embodiment of the present application does not limit the manner in which the processor 130 fuses the registered visible light image and the non-visible light image.
举例来说,处理器130对配准后的可见光图像和非可见光图像进行融合时,可以采用高频分量与低频分量分别融合的方式。低频分量表示图像中亮度或者灰度值变化缓慢的区域,例如图像平坦部分或主要部分。高频分量是图像变化剧烈的部分,例如,图像的边缘(轮廓)、噪声或细节部分。可见光图像和非可见光图像的低频分量以设定的第一比例融合,例如该第一比例可以是以可见光图像的低频分量为主的比例。可见光图像和非可见光图像在高频域以设定的第二比例融合,例如该第二比例可以是以非可见光图像的高频分量为主的比例。For example, when the processor 130 fuses the registered visible light image and the non-visible light image, a manner of fusing the high frequency component and the low frequency component separately may be adopted. Low-frequency components represent areas in the image where brightness or grayscale values change slowly, such as flat or main parts of the image. High-frequency components are portions of an image that change drastically, for example, edges (contours), noise, or detail portions of an image. The low-frequency components of the visible-light image and the non-visible-light image are fused at a set first ratio, for example, the first ratio may be a ratio in which the low-frequency component of the visible-light image dominates. The visible light image and the non-visible light image are fused at a set second ratio in the high-frequency domain, for example, the second ratio may be a ratio dominated by high-frequency components of the non-visible light image.
(4)、点阵光光源140。(4) Dot matrix light source 140 .
点阵光光源140为能够发射出点阵光的光源,也即该光源能够发射出多束平行的光束。在本申请实施例中该点阵光光源140所发射的点阵光的波长可以大于530纳米,小于750纳米,也即点阵光可以为可见光。又例如,该点阵光的波长也可以大于750纳米,也即点阵光中除了可见光,还可以包括红外光。The dot-matrix light source 140 is a light source capable of emitting dot-matrix light, that is, the light source can emit multiple parallel light beams. In the embodiment of the present application, the wavelength of the dot matrix light emitted by the dot matrix light source 140 may be greater than 530 nanometers and less than 750 nanometers, that is, the dot matrix light may be visible light. For another example, the wavelength of the lattice light may also be greater than 750 nanometers, that is, in addition to visible light, infrared light may also be included in the lattice light.
无论是第一点阵还是第二点阵,均包括多个光点。该多个光点形成的形状与点阵光的形状有关。举例来说,如图4A所示,若点阵光中多个平行光束是以五角星的形状排布,那么在可见光图像中的第一点阵和非可见光图像中的第二点阵的形状也可能是以五角星的形状排布。如图4B所示,若点阵光中多个平行光束是以矩阵的形状排布,那么在可见光图像中的第一点阵和非可见光图像中的第二点阵的形状也可能是以矩阵的形状排布。Both the first lattice and the second lattice include a plurality of light points. The shape formed by the plurality of light spots is related to the shape of the lattice light. For example, as shown in Figure 4A, if multiple parallel light beams in the lattice light are arranged in the shape of a five-pointed star, then the shapes of the first dot matrix in the visible light image and the second dot matrix in the non-visible light image It may also be arranged in the shape of a five-pointed star. As shown in Figure 4B, if multiple parallel light beams in the lattice light are arranged in the shape of a matrix, then the shape of the first lattice in the visible light image and the second lattice in the non-visible light image may also be in the shape of a matrix shape arrangement.
点阵光光源140投射点阵光的持续时间可以大于可见光拍摄结构110以及非可见光拍摄结构120的拍摄时间,也即该持续时间可以等于或大于见光拍摄结构以及非可见光拍摄 结构120的曝光时间,具体的,点阵光光源140投射点阵光的持续时间小于80毫秒。The duration of the lattice light projected by the lattice light source 140 may be greater than the photographing time of the visible light photographing structure 110 and the invisible light photographing structure 120, that is, the duration may be equal to or greater than the exposure time of the visible light photographing structure and the invisible light photographing structure 120 Specifically, the duration of the dot-matrix light projected by the dot-matrix light source 140 is less than 80 milliseconds.
在对本申请实施例提供的图像拍摄装置100的各个组成部分说明之后,下面对图像拍摄装置100的图像处理过程进行说明。参见图5,该方法包括:After describing the components of the image capturing device 100 provided in the embodiment of the present application, the image processing process of the image capturing device 100 will be described below. Referring to Figure 5, the method includes:
步骤501:当图像拍摄装置100移动或偏转之后,可见光拍摄结构110和非可见光拍摄结构120可以对同一目标进行拍摄。可见光拍摄结构110和非可见光拍摄结构120在拍摄时可以保持相同的曝光时间。Step 501: After the image capturing device 100 moves or deflects, the visible light capturing structure 110 and the non-visible light capturing structure 120 can capture the same object. The visible light photographing structure 110 and the non-visible light photographing structure 120 can maintain the same exposure time when photographing.
在步骤501中,可见光拍摄结构110和非可见光拍摄结构120对同一目标进行拍摄时,点阵光光源140可以向该目标投射点阵光。In step 501, when the visible light photographing structure 110 and the invisible light photographing structure 120 photograph the same target, the dot matrix light source 140 may project dot matrix light to the target.
步骤502:可见光拍摄结构110生成第一可见光图像,非可见光拍摄结构120生成非第一可见光图像。第一可见光图像中包括点阵光形成的第一点阵,第一非可见光图像中包括点阵光形成的第二点阵。如图6所示,第一组图像为第一可见光图像以及第一非可见光图像的示意图。Step 502: The visible light imaging structure 110 generates a first visible light image, and the non-visible light imaging structure 120 generates a non-first visible light image. The first visible light image includes a first lattice formed by lattice light, and the first non-visible light image includes a second lattice formed by lattice light. As shown in FIG. 6 , the first group of images is a schematic diagram of the first visible light image and the first non-visible light image.
之后处理器130先对第一可见光图像和第一非可见光图像进行配准(也即步骤503~步骤504),之后在对图像进行融合(步骤505)。After that, the processor 130 first registers the first visible light image and the first non-visible light image (that is, steps 503 to 504 ), and then fuses the images (step 505 ).
步骤503:处理器130获得第一可见光图像和第一非可见光图像,处理器130根据第一点阵和第二点阵确定存在对应关系光点对,获得第一可见光图像和第一非可见光图像进行对齐所需的仿射变换参数。Step 503: The processor 130 obtains the first visible light image and the first non-visible light image, and the processor 130 determines that there are corresponding light point pairs according to the first lattice and the second lattice, and obtains the first visible light image and the first non-visible light image Affine transformation parameters required for alignment.
步骤504:处理器130利用仿射变换参数对第一可见光图像和第一非可见光图像进行对齐。如图6所示,第二组图像为第一可见光图像以及第一非可见光图像对齐后的示意图。Step 504: The processor 130 uses affine transformation parameters to align the first visible light image and the first non-visible light image. As shown in FIG. 6 , the second group of images is a schematic diagram after alignment of the first visible light image and the first non-visible light image.
步骤505:处理器130对配准后的第一可见光图像和第一非可见光图像进行融合,获得第一融合图像。如图6所示,最后一幅图像为第一可见光图像以及第一非可见光图像融合后的示意图。Step 505: The processor 130 fuses the registered first visible light image and the first non-visible light image to obtain a first fused image. As shown in FIG. 6 , the last image is a schematic diagram after fusion of the first visible light image and the first non-visible light image.
在步骤501~步骤505是在图像拍摄装置100发生移动或偏转之后所执行的一次图像拍摄操作,若后续图像拍摄装置100未发生移动或偏转,可以利用在步骤503中获得的仿射变换参数对后续图像拍摄操作过程中产生的第二可见光图像以及第二非可见光图像进行对齐。具体可见步骤506~步骤509。 Steps 501 to 505 are an image capture operation performed after the image capture device 100 moves or deflects. If the subsequent image capture device 100 does not move or deflect, the affine transformation parameters obtained in step 503 can be used to The second visible light image and the second non-visible light image generated during subsequent image capture operations are aligned. See step 506 to step 509 for details.
步骤506:可见光拍摄结构110和非可见光拍摄结构120可以对同一目标进行拍摄。可见光拍摄结构110和非可见光拍摄结构120在拍摄时可以保持相同的曝光时间。Step 506: The visible light photographing structure 110 and the non-visible light photographing structure 120 can photograph the same object. The visible light photographing structure 110 and the non-visible light photographing structure 120 can maintain the same exposure time when photographing.
在步骤506中,可见光拍摄结构110和非可见光拍摄结构120对同一目标进行拍摄时,点阵光光源140可以向该目标投射点阵光。In step 506, when the visible light photographing structure 110 and the non-visible light photographing structure 120 photograph the same target, the dot matrix light source 140 may project dot matrix light to the target.
步骤507:可见光拍摄结构110生成第二可见光图像,非可见光拍摄结构120生成非第二可见光图像。Step 507: The visible light imaging structure 110 generates a second visible light image, and the non-visible light imaging structure 120 generates a non-second visible light image.
步骤508:处理器130利用仿射变换参数对第二可见光图像和第二非可见光图像进行对齐。Step 508: The processor 130 uses affine transformation parameters to align the second visible light image and the second non-visible light image.
步骤509:处理器130对配准后的第二可见光图像和第二非可见光图像进行融合,获得第二融合图像。Step 509: The processor 130 fuses the registered second visible light image and the second non-visible light image to obtain a second fused image.
由上可知,图像拍摄装置100每次发生移动或转动后,进行一次拍摄可以获得配准所需的仿射变换参数,例如放射变换参数可能对后续拍摄中生成的可见光图像以及非可见光图像进行配准,之后再进行融合,这样,能够大大简化后续拍摄过程中图像融合的过程,加快图像融合的速度。It can be seen from the above that after each movement or rotation of the image capturing device 100, affine transformation parameters required for registration can be obtained by taking one shot. In this way, the process of image fusion in the subsequent shooting process can be greatly simplified and the speed of image fusion can be accelerated.
显然,本领域的技术人员可以对本申请进行各种改动和变型而不脱离本申请范围。这样,倘若本申请的这些修改和变型属于本申请权利要求及其等同技术的范围之内,则本申请也意图包含这些改动和变型在内。Obviously, those skilled in the art can make various changes and modifications to the application without departing from the scope of the application. In this way, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application is also intended to include these modifications and variations.

Claims (15)

  1. 一种图像拍摄装置,其特征在于,所述装置包括:An image capture device, characterized in that the device comprises:
    可见光拍摄结构,用于对被点阵光投射的目标进行拍摄,生成可见光图像,所述可见光图像上包括由所述点阵光形成的第一点阵;A visible light imaging structure, configured to photograph the target projected by the lattice light to generate a visible light image, the visible light image including the first dot matrix formed by the lattice light;
    非可见光拍摄结构,用于对所述目标进行拍摄,生成非可见光图像,所述非可见光图像上包括由所述点阵光形成的第二点阵;A non-visible light photographing structure, configured to photograph the target to generate a non-visible light image, the non-visible light image including a second lattice formed by the lattice light;
    处理器,用于根据所述第一点阵和所述第二点阵,对所述可见光图像和所述非可见光图像进行融合,输出融合图像。A processor, configured to fuse the visible light image and the non-visible light image according to the first lattice and the second lattice, and output a fusion image.
  2. 如权利要求1所述的装置,其特征在于,所述可见光拍摄结构进行拍摄的时间与所述非可见光拍摄结构进行拍摄的时间相同。The device according to claim 1, wherein the shooting time of the visible light shooting structure is the same as the shooting time of the non-visible light shooting structure.
  3. 如权利要求1或2所述的装置,其特征在于,所述非可见光是红外光。The device according to claim 1 or 2, characterized in that said non-visible light is infrared light.
  4. 如权利要求1~3任一所述的装置,其特征在于,所述图像拍摄装置还包括点阵光光源,所述点阵光光源用于向所述目标投射所述点阵光。The device according to any one of claims 1 to 3, wherein the image capturing device further comprises a dot matrix light source, and the dot matrix light source is used to project the dot matrix light to the target.
  5. 如权利要求1~4任一所述的装置,其特征在于,所述处理器,具体用于:The device according to any one of claims 1-4, wherein the processor is specifically used for:
    基于所述第一点阵和所述第二点阵之间光点与光点的对应关系,对所述可见光图像和所述非可见光图像进行配准;Registering the visible light image and the non-visible light image based on the corresponding relationship between light spots and light spots between the first lattice and the second lattice;
    对配准后的所述可见光图像和所述非可见光图像进行融合,生成所述融合图像。The registered visible light image and the non-visible light image are fused to generate the fused image.
  6. 如权利要求5所述的装置,其特征在于,所述第一点阵和所述第二点阵包括多个光点,所述处理器在基于所述第一点阵和所述第二点阵之间光点与光点的对应关系,对所述可见光图像和所述非可见光图像进行配准,具体用于:The device according to claim 5, wherein the first dot matrix and the second dot matrix comprise a plurality of light points, and the processor is based on the first dot matrix and the second dot matrix The corresponding relationship between light spots and light spots between arrays, registering the visible light image and the non-visible light image, specifically for:
    确定所述第一点阵和所述第二点阵中存在对应关系的光点对,所述存在对应关系的光点对包括一个所述第一点阵的光点和一个所述第二点阵的光点,所述存在对应关系的光点为所述第一点阵和所述第二点阵中特征相似程度大于阈值的光点;Determining a light point pair with corresponding relationship between the first lattice and the second lattice, where the corresponding light point pair includes one light point of the first lattice and one light point of the second dot The corresponding light points are the light points in the first lattice and the second lattice whose feature similarity is greater than a threshold;
    根据所述存在对应关系的光点对所述可见光图像和所述非可见光图像进行配准。The visible light image and the non-visible light image are registered according to the corresponding light points.
  7. 如权利要求1~6任一所述的装置,其特征在于,所述可见光拍摄结构包括可见光镜头和可见光传感器;The device according to any one of claims 1 to 6, wherein the visible light imaging structure includes a visible light lens and a visible light sensor;
    所述可见光镜头,用于捕捉拍摄目标所反射的可见光,将所述可见光投射到所述可见光传感器上;The visible light lens is used to capture the visible light reflected by the shooting target, and project the visible light onto the visible light sensor;
    所述可见光传感器,用于感应所述可见光,生成所述可见光图像;The visible light sensor is configured to sense the visible light and generate the visible light image;
    所述非可见光拍摄结构包括非可见光镜头和非可见光传感器;The non-visible light shooting structure includes a non-visible light lens and a non-visible light sensor;
    所述非可见光镜头,用于捕捉所述目标所反射的非可见光,将所述非可见光投射到所述非可见光传感器上;The non-visible light lens is used to capture the non-visible light reflected by the target, and project the non-visible light onto the non-visible light sensor;
    所述非可见光传感器,用于感应所述非可见光,生成所述非可见光图像。The non-visible light sensor is configured to sense the non-visible light and generate the non-visible light image.
  8. 如权利要求7所述的装置,其特征在于,所述非可见光拍摄结构还包括红外补光灯;The device according to claim 7, wherein the non-visible light shooting structure further includes an infrared supplementary light;
    所述红外补光灯,用于在所述非可见光拍摄结构进行拍摄时向所述目标投射红外光。The infrared supplementary light is used to project infrared light to the target when the non-visible light shooting structure is shooting.
  9. 如权利要求7或8所述的装置,其特征在于,所述可见光镜头或所述非可见光镜头为变焦镜头。The device according to claim 7 or 8, wherein the visible light lens or the non-visible light lens is a zoom lens.
  10. 如权利要求1~9任一所述的装置,其特征在于,所述点阵光的波长覆盖可见光波段和红外光波段。The device according to any one of claims 1 to 9, characterized in that the wavelengths of the dot matrix light cover visible light bands and infrared light bands.
  11. 如权利要求1~9任一所述的装置,其特征在于,所述点阵光的波长大于560纳米,小于750纳米。The device according to any one of claims 1-9, characterized in that the wavelength of the lattice light is greater than 560 nanometers and less than 750 nanometers.
  12. 如权利要求1~11任一所述的装置,其特征在于,所述点阵光的投射持续时间小于80毫秒。The device according to any one of claims 1-11, characterized in that the projection duration of the dot matrix light is less than 80 milliseconds.
  13. 一种图像处理方法,其特征在于,所述方法包括:An image processing method, characterized in that the method comprises:
    图像拍摄装置中的可见光拍摄结构对被点阵光投射的目标进行拍摄,生成可见光图像,所述可见光图像上包括由点阵光形成的第一点阵;The visible light shooting structure in the image capturing device shoots the target projected by the lattice light to generate a visible light image, and the visible light image includes a first dot matrix formed by the lattice light;
    所述图像拍摄装置中的非可见光拍摄结构对所述目标进行拍摄,生成非可见光图像,所述非可见光图像上包括由所述点阵光形成的第二点阵;The non-visible light photographing structure in the image capturing device photographs the target to generate a non-visible light image, and the non-visible light image includes a second lattice formed by the lattice light;
    所述图像拍摄装置中的处理器根据所述第一点阵和所述第二点阵,对所述可见光图像和所述非可见光图像进行融合,输出融合图像。The processor in the image capture device fuses the visible light image and the non-visible light image according to the first lattice and the second lattice, and outputs a fusion image.
  14. 如权利要求13所述的方法,其特征在于,所述图像拍摄装置中的处理器根据所述第一点阵和所述第二点阵,对所述可见光图像和所述非可见光图像进行融合,输出融合图像,包括:The method according to claim 13, wherein the processor in the image capture device fuses the visible light image and the non-visible light image according to the first lattice and the second lattice , output the fused image, including:
    所述图像拍摄装置中的处理器基于所述第一点阵和所述第二点阵之间光点与光点的对应关系,对所述可见光图像和所述非可见光图像进行配准;The processor in the image capture device registers the visible light image and the non-visible light image based on the corresponding relationship between light spots and light spots between the first dot matrix and the second dot matrix;
    所述图像拍摄装置中的处理器对配准后的所述可见光图像和所述非可见光图像进行融合,生成所述融合图像。The processor in the image capture device fuses the registered visible light image and the non-visible light image to generate the fusion image.
  15. 如权利要求14所述的方法,其特征在于,所述第一点阵和所述第二点阵包括多个光点,所述图像拍摄装置中的处理器在基于所述第一点阵和所述第二点阵之间光点与光点的对应关系,对所述可见光图像和所述非可见光图像进行配准,包括:The method according to claim 14, wherein the first dot matrix and the second dot matrix include a plurality of light spots, and the processor in the image capturing device is based on the first dot matrix and the second dot matrix. The corresponding relationship between light spots and light spots between the second dot matrix, registering the visible light image and the non-visible light image includes:
    所述图像拍摄装置中的处理器确定所述第一点阵和所述第二点阵中存在对应关系的光点对,所述存在对应关系的光点对包括一个所述第一点阵的光点和一个所述第二点阵的光点,所述存在对应关系的光点为所述第一点阵和所述第二点阵中特征相似程度大于阈值的光点;The processor in the image capture device determines a corresponding light point pair in the first dot matrix and the second dot matrix, and the corresponding light point pair includes one of the first dot matrix A light point and a light point of the second lattice, the light point having a corresponding relationship is a light point with a feature similarity degree greater than a threshold in the first lattice and the second lattice;
    所述图像拍摄装置中的处理器根据所述存在对应关系的光点对所述可见光图像和所述非可见光图像进行配准。The processor in the image capture device registers the visible light image and the non-visible light image according to the corresponding light points.
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US20160269714A1 (en) * 2015-03-11 2016-09-15 Microsoft Technology Licensing, Llc Distinguishing foreground and background with infrared imaging
CN108010085A (en) * 2017-11-30 2018-05-08 西南科技大学 Target identification method based on binocular Visible Light Camera Yu thermal infrared camera
CN111669482A (en) * 2019-03-07 2020-09-15 福州瑞芯微电子股份有限公司 Image processing method, system, medium, chip and structural optoelectronic device

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160269714A1 (en) * 2015-03-11 2016-09-15 Microsoft Technology Licensing, Llc Distinguishing foreground and background with infrared imaging
CN108010085A (en) * 2017-11-30 2018-05-08 西南科技大学 Target identification method based on binocular Visible Light Camera Yu thermal infrared camera
CN111669482A (en) * 2019-03-07 2020-09-15 福州瑞芯微电子股份有限公司 Image processing method, system, medium, chip and structural optoelectronic device

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