CN109996009B - Image processing method, image processing device, storage medium and electronic equipment - Google Patents

Image processing method, image processing device, storage medium and electronic equipment Download PDF

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Publication number
CN109996009B
CN109996009B CN201910280193.3A CN201910280193A CN109996009B CN 109996009 B CN109996009 B CN 109996009B CN 201910280193 A CN201910280193 A CN 201910280193A CN 109996009 B CN109996009 B CN 109996009B
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scene
images
image
shooting scene
dynamic range
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CN109996009A (en
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张弓
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Priority to CN201910280193.3A priority Critical patent/CN109996009B/en
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Priority to PCT/CN2020/081412 priority patent/WO2020207258A1/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • H04N23/62Control of parameters via user interfaces
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70Circuitry for compensating brightness variation in the scene
    • H04N23/73Circuitry for compensating brightness variation in the scene by influencing the exposure time
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70Circuitry for compensating brightness variation in the scene
    • H04N23/741Circuitry for compensating brightness variation in the scene by increasing the dynamic range of the image compared to the dynamic range of the electronic image sensors

Abstract

The embodiment of the application discloses an image processing method, an image processing device, a storage medium and electronic equipment, wherein the electronic equipment can detect whether a target object meeting a preset motion condition exists in a shooting scene or not; if not, acquiring a plurality of first scene images of the shooting scene according to the same exposure parameter, and synthesizing the plurality of first scene images to obtain a first high dynamic range image of the shooting scene; if so, acquiring a plurality of second scene images of the shooting scene according to different exposure parameters, and synthesizing the plurality of second scene images to obtain a second high dynamic range image of the shooting scene. The high dynamic range image of the shooting scene is synthesized by the corresponding high dynamic range image synthesis mode adopted according to the actual state of the shooting scene, and the high dynamic range effect of image shooting can be flexibly realized.

Description

Image processing method, image processing device, storage medium and electronic equipment
Technical Field
The present application relates to the field of computer technologies, and in particular, to an image processing method and apparatus, a storage medium, and an electronic device.
Background
Due to the hardware limitation of the electronic equipment, the current electronic equipment can only shoot scenes with a small brightness range, and if the brightness difference of the scenes is too large, the shot images easily lose details of bright places and/or dark places.
Disclosure of Invention
The embodiment of the application provides an image processing method, an image processing device, a storage medium and electronic equipment, which can flexibly realize the high dynamic range effect of image shooting.
In a first aspect, an embodiment of the present application provides an image processing method, which is applied to an electronic device, and the image processing method includes:
detecting whether a target object meeting a preset motion condition exists in a shooting scene;
if not, acquiring a plurality of first scene images of the shooting scene according to the same exposure parameter, and synthesizing the plurality of first scene images to obtain a first high dynamic range image of the shooting scene;
if so, acquiring a plurality of second scene images of the shooting scene according to different exposure parameters, and synthesizing the plurality of second scene images to obtain a second high dynamic range image of the shooting scene.
In a second aspect, an embodiment of the present application provides an image processing apparatus applied to an electronic device, the image processing apparatus including:
the detection module is used for detecting whether a target object meeting preset motion conditions exists in a shooting scene;
the first synthesis module is used for acquiring a plurality of first scene images of the shooting scene according to the same exposure parameter when the target object does not exist in the shooting scene, and synthesizing the plurality of first scene images to obtain a first high dynamic range image of the shooting scene;
and the second synthesis module is used for acquiring a plurality of second scene images of the shooting scene according to different exposure parameters when the target object exists in the shooting scene, and synthesizing the plurality of second scene images to obtain a second high dynamic range image of the shooting scene.
In a third aspect, the present application provides a storage medium having a computer program stored thereon, which, when running on a computer, causes the computer to perform the steps in the image processing method as provided by the embodiments of the present application.
In a fourth aspect, the present application provides an electronic device, which includes a processor and a memory, where the memory stores a computer program, and the processor is configured to execute the steps in the image processing method provided by the present application by calling the computer program.
In the embodiment of the application, the electronic equipment can detect whether a target object meeting a preset motion condition exists in a shooting scene or not; if not, acquiring a plurality of first scene images of the shooting scene according to the same exposure parameter, and synthesizing the plurality of first scene images to obtain a first high dynamic range image of the shooting scene; if so, acquiring a plurality of second scene images of the shooting scene according to different exposure parameters, and synthesizing the plurality of second scene images to obtain a second high dynamic range image of the shooting scene. The high dynamic range image of the shooting scene is synthesized by the corresponding high dynamic range image synthesis mode adopted according to the actual state of the shooting scene, and the high dynamic range effect of image shooting can be flexibly realized.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of an image processing method according to an embodiment of the present application.
Fig. 2 is a schematic diagram of a first high dynamic range image synthesized in the embodiment of the present application.
Fig. 3 is a schematic diagram of the position areas of the same object in two buffered images of the shooting scene in the embodiment of the present application.
Fig. 4 is a schematic view of the merging position area of the same object in the embodiment of the present application.
Fig. 5 is a schematic diagram of the arrangement positions of the first camera and the second camera of the electronic device in the embodiment of the present application.
Fig. 6 is another schematic flowchart of an image processing method according to an embodiment of the present application.
Fig. 7 is a schematic structural diagram of an image processing apparatus according to an embodiment of the present application.
Fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Fig. 9 is another schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Referring to the drawings, wherein like reference numbers refer to like elements, the principles of the present application are illustrated as being implemented in a suitable computing environment. The following description is based on illustrated embodiments of the application and should not be taken as limiting the application with respect to other embodiments that are not detailed herein.
The embodiment of the application firstly provides an image processing method, and the image processing method is applied to electronic equipment. The main body of the image processing method may be the image processing apparatus provided in the embodiment of the present application, or an electronic device integrated with the image processing apparatus, where the image processing apparatus may be implemented in a hardware or software manner, and the electronic device may be a device with processing capability and configured with a processor, such as a smart phone, a tablet computer, a palmtop computer, a notebook computer, or a desktop computer.
Referring to fig. 1, fig. 1 is a schematic flow chart of an image processing method according to an embodiment of the present disclosure. The image processing method is applied to the electronic device provided by the embodiment of the present application, and as shown in fig. 1, a flow of the image processing method provided by the embodiment of the present application may be as follows:
in 101, whether a target object meeting preset motion conditions exists in a shooting scene is detected, if yes, the process is shifted to 103, and if not, the process is shifted to 102.
After the electronic device starts a shooting application program (for example, a system application "camera" of the electronic device) according to a user operation, a scene aimed at by a camera of the electronic device is a shooting scene. For example, after the user clicks an icon of a "camera" application on the electronic device with a finger to start the "camera application", if the user uses a camera of the electronic device to align a scene including an XX object, the scene including the XX object is a shooting scene. From the above description, it will be understood by those skilled in the art that the shooting scene is not specific to a particular scene, but is a scene aligned in real time following the orientation of the camera.
In the embodiment of the application, the electronic device firstly detects whether a target object meeting a preset motion condition exists in a shooting scene, and then synthesizes a high dynamic range image of the shooting scene by adopting a proper high dynamic range synthesis technology according to a detection result.
In this embodiment, no specific limitation is imposed on what method is used to detect whether the target object exists in the shooting scene, and a person skilled in the art can select a suitable detection method according to actual needs, for example, an optical flow method, a residual method, or the like can be used.
It should be noted that, an image buffer queue is also preset in the electronic device, and the image buffer queue may be a fixed-length queue or a variable-length queue, for example, the image buffer queue is a fixed-length queue and can buffer 8 images. After the camera is enabled, the electronic equipment can cache the image acquired by the camera in real time into an image cache queue.
Taking a residual method as an example, when detecting whether a target object meeting a preset motion condition exists in a shooting scene, an electronic device may first acquire two temporally adjacent cache images of the shooting scene from a preset image cache queue thereof, and record the two temporally adjacent cache images as a first cache image and a second cache image. Then, the electronic device subtracts the first cache image from the second cache image to obtain a residual image of the first cache image and the second cache image. Then, the electronic equipment determines the brightness value of each pixel point in the residual image and determines the proportion value of the pixel points with non-zero brightness in all the pixel points. Finally, the electronic device determines whether the ratio of the non-zero-brightness pixel points to all the pixel points is smaller than a preset ratio (an experience value can be obtained by a person skilled in the art according to actual needs, for example, the preset ratio can be configured to be 25%), and if so, it determines that the target object exists in the shooting scene.
In addition, it should be further noted that in the embodiment of the present application, two high dynamic range synthesis manners are provided, and after detecting whether a target object meeting a preset motion condition exists in a shooting scene, the electronic device selects one high dynamic range synthesis manner according to a detection result to synthesize a high dynamic range image of the shooting scene. If a target object is detected to exist in the shooting scene, switching to 102, and selecting a high dynamic range synthesis mode to synthesize a high dynamic range image of the shooting scene; if no target object exists in the shooting scene, the process proceeds to 103, and another high dynamic range synthesis mode is selected to synthesize a high dynamic range image of the shooting scene.
At 102, a plurality of first scene images of the shooting scene are acquired according to the same exposure parameter, and the plurality of first scene images are synthesized to obtain a first high dynamic range image of the shooting scene.
The exposure parameter includes an exposure value (i.e., commonly called an EV value) or an exposure duration, and when the electronic device obtains a plurality of first scene images of a shooting scene according to the same exposure parameter, the electronic device may obtain the plurality of first scene images of the shooting scene according to a preset short exposure duration. For example, the electronic device controls the camera to perform multiple exposures on the shooting scene according to a preset short exposure duration of 1 millisecond, so as to obtain multiple first scene images of the shooting scene, in other words, the obtained multiple first scene images are multiple short exposure images of the shooting scene.
In the embodiment of the application, after the electronic device acquires the plurality of first scene images of the shooting scene, the plurality of first scene images are further synthesized in a multi-frame short exposure mode to obtain a first high dynamic range image of the shooting scene.
When the electronic equipment synthesizes a plurality of first scene images to obtain a first high dynamic range image of a shooting scene, firstly, multi-frame noise reduction synthesis is carried out on the plurality of first scene images to obtain a noise reduction synthesized image. It will be appreciated that since the first scene image is a short exposure image, it will retain more of the features of the brighter regions of the captured scene. Similarly, the noise-reduced composite image obtained by performing multi-frame noise-reduction synthesis on a plurality of first scene images also retains more of the characteristics of the brighter area in the shooting scene. At this time, the electronic device further increases the brightness of the noise-reduced composite image, so that the features of the bright area and the dark area in the shooting scene are presented at the same time, and a high dynamic range image of the shooting scene is obtained and recorded as a first high dynamic range image.
For example, suppose that the electronic device acquires 4 first scene images of a shooting scene, which are the first scene image a, the first scene image B, the first scene image C, and the first scene image D, respectively.
Referring to fig. 2, the electronic device first selects one of the first scene image a, the first scene image B, the first scene image C, and the first scene image D as a reference image, and if the first scene image a is selected as the reference image, the electronic device aligns the first scene image B, the first scene image C, and the first scene image D with the first scene image a, and then calculates an average pixel value of each pixel point based on the aligned images (for example, if pixel values of a pixel point at a certain position in four first scene images are respectively: "0.8, 0.9, 1.1, 1.2", then the average pixel value of the pixel point at the position is calculated to be "1"). And then, obtaining a noise-reduced composite image according to the average pixel value of each position. The pixel values of the pixels of the reference image (i.e., the first scene image a) may be adjusted to the average pixel values obtained by calculation, so as to obtain a noise-reduced composite image, and a new image may be generated according to the average pixel values obtained by calculation, and the generated image may be used as the noise-reduced composite image. For the noise-reduced composite image, the brightness of the electronic device is further improved, and a first high dynamic range image of a shooting scene is obtained.
In 103, a plurality of second scene images of the shooting scene are acquired according to different exposure parameters, and the plurality of second scene images are synthesized to obtain a second high dynamic range image of the shooting scene.
As an optional implementation manner, when acquiring a plurality of second scene images of a shooting scene according to different exposure parameters, the electronic device may acquire the plurality of second scene images of the shooting scene in a manner that a preset short exposure time and a preset long exposure time overlap each other. In other words, of the two adjacently exposed second scene images, one second scene image is a short-exposure image, and the other second scene image is a long-exposure image. Therefore, the second high dynamic range image of the shooting scene can be obtained by synthesis in a long and short exposure synthesis mode.
For example, the electronic device obtains a second scene image with a short exposure duration and a second scene image with a long exposure duration, and because the second scene image with a short exposure duration retains the features of the brighter region in the shooting scene and the second scene image with a long exposure duration retains the features of the darker region in the shooting scene, during the synthesis, the features of the darker region in the shooting scene retained by the second scene image with a long exposure duration and the features of the brighter region in the shooting scene retained by the second scene image with a short exposure duration may be utilized to synthesize and obtain a second high dynamic range image of the shooting scene.
As another optional implementation manner, when acquiring a plurality of second scene images of a shooting scene according to different exposure parameters, the electronic device may acquire the plurality of second scene images of the shooting scene according to different exposure values, wherein the electronic device may respectively expose the shooting scene according to a preset overexposure value and a preset underexposure value to obtain two second scene images of the shooting scene, and may also respectively expose the shooting scene according to a preset overexposure value, a preset normal exposure value and a preset underexposure value to obtain three second scene images of the shooting scene, and the like.
For example, the electronic device may control the camera to expose the shooting scene according to a preset normal exposure value EV0, a preset underexposure value EV-2, and a preset overexposure value EV2, so as to obtain three second scene images of the shooting scene, which are a normal exposure image, an overexposure image, and an underexposure image, respectively, and synthesize a second high dynamic range image of the shooting scene in a bracketing synthesis manner.
As can be seen from the above, in the embodiment of the application, the electronic device may detect whether a target object meeting a preset motion condition exists in the shooting scene; if not, acquiring a plurality of first scene images of the shooting scene according to the same exposure parameter, and synthesizing the plurality of first scene images to obtain a first high dynamic range image of the shooting scene; if so, acquiring a plurality of second scene images of the shooting scene according to different exposure parameters, and synthesizing the plurality of second scene images to obtain a second high dynamic range image of the shooting scene. The high dynamic range image of the shooting scene is synthesized by the corresponding high dynamic range image synthesis mode adopted according to the actual state of the shooting scene, and the high dynamic range effect of image shooting can be flexibly realized.
In one embodiment, "detecting whether a target object satisfying a preset motion condition exists in a shooting scene" includes:
(1) acquiring two cache images of a shooting scene from a preset image cache queue;
(2) identifying the position areas of the same object in the two cached images;
(3) combining the position areas of the same object in the two cache images to obtain a combined position area;
(4) and judging whether the occupation ratio of the merging position area relative to any cache image reaches a preset occupation ratio, if so, judging that the same object is a target object, and otherwise, judging that the target object does not exist in the shooting scene.
In the embodiment of the application, when detecting whether a target object meeting a preset motion condition exists in a shooting scene, an electronic device first obtains two temporally adjacent cache images of the shooting scene from a preset image cache queue of the electronic device, and records the two temporally adjacent cache images as a third cache image and a fourth cache image. Then, the electronic device performs semantic segmentation on the third cache image and the fourth cache image respectively by using a semantic segmentation technology, so as to determine the objects existing in the third cache image and the fourth cache image and the corresponding position areas of the objects. Then, the electronic device identifies the position areas of the same object in the third and fourth cache images according to the semantic segmentation result of the third and fourth cache images, for example, please refer to fig. 3, where the position area of the object a in the fourth cache image moves to the right by a certain distance compared with the position area in the third cache image. Then, the electronic device merges the position areas of the same object in the third and fourth cached images to obtain a merged position area, as shown in fig. 4. And finally, the electronic equipment judges whether the occupation ratio of the merging position area relative to the third cache image or the fourth cache image reaches a preset occupation ratio, if so, the same object is judged to be a target object meeting preset conditions, and if not, the target object does not exist in the shooting scene.
It should be noted that the size of the preset ratio depends on the ratio of the same object with respect to the third buffered image (or the fourth buffered image), and can be expressed as:
P=p+kp;
in general, when the displacement of an object in the shooting scene reaches 1/4 in the occupied position region, the electronic device determines that the object is a moving object, and when the displacement of no object in the shooting scene reaches 1/4 in the occupied position region, the electronic device determines that the object is not present in the shooting scene, i.e., no moving object is present.
In an embodiment, before acquiring a plurality of first scene images of a shooting scene according to the same exposure parameter and synthesizing the plurality of first scene images to obtain a first high dynamic range image of the shooting scene, the method further includes:
(1) identifying whether the position areas of the target object in the two cache images are salient areas or not;
(2) if yes, acquiring a plurality of first scene images of the shooting scene according to the same exposure parameter, and synthesizing the plurality of first scene images to obtain a first high dynamic range image of the shooting scene.
It should be noted that a salient region of a scene is a region that is more noticeable to a user, such as people and animals that are generally considered to be more salient than the sky, grass, and buildings. Generally, people prefer to photograph a significant area in a photographing scene as a subject. Therefore, when the ratio of the merged location area corresponding to the same object with respect to any one of the cache images reaches a preset ratio, that is, the same object is a moving object in the shooting scene, the electronic device further identifies whether the location area of the moving object in the third cache image or the fourth cache image is a significant area. For example, a person skilled in the art may pre-configure the salient region identification method adopted by the electronic device according to actual needs, so that the electronic device identifies the salient regions in the third and fourth cache images according to the pre-configured salient region identification method, and determines whether the position region of the moving object in the third cache image is the salient region thereof, and determines whether the position region of the moving object in the fourth cache image is the salient region thereof.
If the position areas of the moving object in the third cache image and the fourth cache image are identified as salient areas, acquiring a plurality of first scene images of the shooting scene according to the same exposure parameter, and synthesizing the plurality of first scene images to obtain a first high dynamic range image of the shooting scene so as to avoid ghost in the first high dynamic range image.
In an embodiment, "after identifying whether the position area of the aforementioned target object in the two cached images is a salient area", the method further includes:
if not, acquiring a plurality of second scene images of the shooting scene according to different exposure parameters, and synthesizing the plurality of second scene images to obtain a second high dynamic range image of the shooting scene.
When the position areas of the target object in the two cache images are not identified as the salient areas, that is, the moving object in the shooting scene is not the shooting subject, the electronic device acquires a plurality of second scene images of the shooting scene according to different exposure parameters, and synthesizes the plurality of second scene images to obtain a second high dynamic range image of the shooting scene. In this way, even if a ghost (corresponding to the aforementioned target object, i.e., a moving object in the captured scene) exists in the synthesized second high dynamic range image, the effect on the entire image is small, but a better high dynamic range effect can be obtained.
In one embodiment, "acquiring a plurality of first scene images of a shooting scene according to the same exposure parameter" includes:
acquiring a plurality of first scene images of a shooting scene through a first camera and a second camera respectively according to the same exposure parameter;
"acquiring a plurality of second scene images of a shooting scene according to different exposure parameters" includes:
and acquiring a plurality of second scene images of the shooting scene through the first camera and the second camera according to different exposure parameters.
Referring to fig. 5, in the embodiment of the present application, a first camera and a second camera are disposed on the same side of an electronic device.
On one hand, when the electronic device obtains a plurality of first scene images of a shooting scene according to the same exposure parameter, the plurality of first scene images of the shooting scene can be obtained through the first camera and the second camera according to the same exposure parameter. Therefore, the acquisition efficiency of the first scene image is improved, and the synthesis efficiency of the first high dynamic range image is improved. For example, the electronic device synchronously exposes the shooting scene through the first camera and the second camera according to the short exposure duration, and two first scene images of the shooting scene can be acquired by using one-time exposure operation.
On the other hand, when the electronic device acquires a plurality of second scene images of the shooting scene according to different exposure parameters, the first camera and the second camera can be respectively provided to acquire the plurality of second scene images of the shooting scene according to different exposure parameters. Therefore, the acquisition efficiency of the second scene image is improved, and the synthesis efficiency of the second high dynamic range image is improved. For example, the electronic device respectively exposes the shooting scene according to the short exposure duration through the first camera, exposes the shooting scene according to the long exposure duration through the second camera, and can acquire two second scene images of the shooting scene, namely a short exposure image and a long exposure image, through one exposure operation.
In an embodiment, the image processing method provided by the present application further includes:
and displaying the first high dynamic range image or the second high dynamic range image as a preview image of the shooting scene.
In the embodiment of the application, after the first high dynamic range image is obtained through synthesis, the electronic device displays the synthesized first high dynamic range image as a preview image of a shooting scene, or displays the synthesized second high dynamic range image as a preview image of the shooting scene after the second high dynamic range image is obtained through synthesis.
The first high dynamic range image or the second high dynamic range image is displayed as the preview image of the shooting scene, so that the user can see the high dynamic range effect of the image obtained by shooting the shooting scene in advance, and the user is helped to better shoot.
In an embodiment, the image processing method provided by the present application further includes:
and carrying out video coding according to the first high dynamic range image or the second high dynamic range image to obtain a video of a shooting scene.
The electronic equipment can also perform video coding according to the first high dynamic range image or the second high dynamic range image to obtain a video of a shooting scene, namely when the shooting scene is recorded, the video obtained by recording has a high dynamic range effect.
It should be noted that, as to what video coding format is used for video coding, the embodiment of the present application is not particularly limited, and a person skilled in the art can select a suitable video coding format according to actual needs, including but not limited to h.264, h.265, MPEG-4, and so on.
In an embodiment, the image processing method provided by the present application further includes:
before a first high dynamic range image is obtained through synthesis, down-sampling processing is carried out on a plurality of first scene images according to the current resolution of a screen;
or, before the second high dynamic range image is synthesized, the plurality of second scene images are subjected to down-sampling processing according to the current resolution of the screen.
It will be appreciated by those skilled in the art that the actual resolution of the preview image is greater than the resolution of the screen display, and that no better display effect is obtained than if the actual resolution of the preview image is equal to the resolution of the screen display.
Therefore, before the first high dynamic range image is synthesized, the electronic device first acquires the current resolution of the screen, and then performs down-sampling processing on the plurality of first scene images according to the current resolution of the screen, so that the resolutions of the plurality of first scene images are consistent with the current resolution of the screen, and further the resolution of the synthesized first high dynamic range image is consistent with the current resolution of the screen. In this way, the efficiency of combining the first high dynamic range image can be improved, and the display effect of the first high dynamic range image is not reduced when the first high dynamic range image is displayed as a preview image.
On the other hand, before the second high dynamic range image is synthesized, the electronic device first acquires the current resolution of the screen, and then performs down-sampling processing on the plurality of second scene images according to the current resolution of the screen, so that the resolutions of the plurality of second scene images are consistent with the current resolution of the screen, and further the resolution of the synthesized second high dynamic range image is consistent with the current resolution of the screen. In this way, the efficiency of combining the second high dynamic range image can be improved, and the display effect of the second high dynamic range image is not reduced when the second high dynamic range image is displayed as a preview image.
Referring to fig. 6, fig. 6 is another schematic flow chart of an image processing method according to an embodiment of the present application, where the flow of the image processing method may include:
in 201, the electronic device obtains two buffered images of a shooting scene from a preset image buffer queue.
It should be noted that, an image buffer queue is preset in the electronic device, and the image buffer queue may be a fixed-length queue or a variable-length queue, for example, the image buffer queue is a fixed-length queue and can buffer 8 images. After the camera is enabled, the electronic equipment can cache the image acquired by the camera in real time into an image cache queue.
The electronic equipment firstly acquires two temporally adjacent cache images of a shooting scene from a preset image cache queue, and records the two temporally adjacent cache images as a third cache image and a fourth cache image.
At 202, the electronic device identifies location areas of the same object in the two buffered images.
The electronic equipment performs semantic segmentation on the third cache image and the fourth cache image respectively by using a semantic segmentation technology, so that objects existing in the third cache image and the fourth cache image and corresponding position areas of the objects are determined. Then, the electronic device identifies the position areas of the same object in the third and fourth cache images according to the semantic segmentation result of the third and fourth cache images, for example, referring to fig. 3, the position area of the object a in the fourth cache image moves to the right by a certain distance compared with the position area of the object a in the third cache image.
At 203, the electronic device merges the position areas of the same object in the two buffered images to obtain a merged position area.
The electronic device merges the position areas of the same object in the third cached image and the fourth cached image to obtain a merged position area, as shown in fig. 4.
At 204, the electronic device determines whether the same object is a target object meeting a preset condition according to the ratio of the merged location area to any of the cached images, if so, the process proceeds to 206, and if not, the process proceeds to 205.
For example, the electronic device determines whether the ratio of the merged position area to the third cache image or the fourth cache image reaches a preset ratio, if so, determines that the same object is a target object meeting a preset condition, and otherwise, determines that the target object does not exist in the shooting scene.
It should be noted that the size of the preset ratio depends on the ratio of the same object with respect to the third buffered image (or the fourth buffered image), and can be expressed as:
P=p+kp;
in general, when the displacement of an object in the shooting scene reaches 1/4 in the occupied position region, the electronic device determines that the object is a moving object, and when the displacement of no object in the shooting scene reaches 1/4 in the occupied position region, the electronic device determines that the object is not present in the shooting scene, i.e., no moving object is present.
In 205, the electronic device obtains a plurality of first scene images of the shooting scene according to the same exposure parameter, and synthesizes the plurality of first scene images to obtain a first high dynamic range image of the shooting scene.
The exposure parameter includes an exposure value (i.e., commonly called an EV value) or an exposure duration, and when the electronic device obtains a plurality of first scene images of a shooting scene according to the same exposure parameter, the electronic device may obtain the plurality of first scene images of the shooting scene according to a preset short exposure duration. For example, the electronic device controls the camera to perform multiple exposures on the shooting scene according to a preset short exposure duration, so as to obtain a plurality of first scene images of the shooting scene, in other words, the obtained plurality of first scene images are a plurality of short exposure images of the shooting scene.
In the embodiment of the application, after the electronic device acquires the plurality of first scene images of the shooting scene, the plurality of first scene images are further synthesized in a multi-frame short exposure mode to obtain a first high dynamic range image of the shooting scene.
When the electronic equipment synthesizes a plurality of first scene images to obtain a first high dynamic range image of a shooting scene, firstly, multi-frame noise reduction synthesis is carried out on the plurality of first scene images to obtain a noise reduction synthesized image. It will be appreciated that since the first scene image is a short exposure image, it will retain more of the features of the brighter regions of the captured scene. Similarly, the noise-reduced composite image obtained by performing multi-frame noise-reduction synthesis on a plurality of first scene images also retains more of the characteristics of the brighter area in the shooting scene. At this time, the electronic device further increases the brightness of the noise-reduced composite image, so that the features of the bright area and the dark area in the shooting scene are presented at the same time, and a high dynamic range image of the shooting scene is obtained and recorded as a first high dynamic range image.
For example, suppose that the electronic device acquires 4 first scene images of a shooting scene, which are the first scene image a, the first scene image B, the first scene image C, and the first scene image D, respectively.
Referring to fig. 2, the electronic device first selects one of the first scene image a, the first scene image B, the first scene image C, and the first scene image D as a reference image, and if the first scene image a is selected as the reference image, the electronic device aligns the first scene image B, the first scene image C, and the first scene image D with the first scene image a, and then calculates an average pixel value of each pixel point based on the aligned images (for example, if pixel values of a pixel point at a certain position in four first scene images are respectively: "0.8, 0.9, 1.1, 1.2", then the average pixel value of the pixel point at the position is calculated to be "1"). And then, obtaining a noise-reduced composite image according to the average pixel value of each position. The pixel values of the pixels of the reference image (i.e., the first scene image a) may be adjusted to the average pixel values obtained by calculation, so as to obtain a noise-reduced composite image, and a new image may be generated according to the average pixel values obtained by calculation, and the generated image may be used as the noise-reduced composite image. For the noise-reduced composite image, the brightness of the electronic device is further improved, and a first high dynamic range image of a shooting scene is obtained.
At 206, the electronic device obtains a plurality of second scene images of the shooting scene according to different exposure parameters, and synthesizes the plurality of second scene images to obtain a second high dynamic range image of the shooting scene.
As an optional implementation manner, when acquiring a plurality of second scene images of a shooting scene according to different exposure parameters, the electronic device may acquire the plurality of second scene images of the shooting scene in a manner that a preset short exposure time and a preset long exposure time overlap each other. In other words, of the two adjacently exposed second scene images, one second scene image is a short-exposure image, and the other second scene image is a long-exposure image. Therefore, the second high dynamic range image of the shooting scene can be obtained by synthesis in a long and short exposure synthesis mode.
For example, the electronic device obtains a second scene image with a short exposure duration and a second scene image with a long exposure duration, and because the second scene image with a short exposure duration retains the features of the brighter region in the shooting scene and the second scene image with a long exposure duration retains the features of the darker region in the shooting scene, during the synthesis, the features of the darker region in the shooting scene retained by the second scene image with a long exposure duration and the features of the brighter region in the shooting scene retained by the second scene image with a short exposure duration may be utilized to synthesize and obtain a second high dynamic range image of the shooting scene.
As another optional implementation manner, a plurality of second scene images of the shooting scene are acquired according to different exposure parameters, wherein the electronic device may respectively expose the shooting scene according to a preset overexposure value and a preset underexposure value to obtain two second scene images of the shooting scene, and may also respectively expose the shooting scene according to a preset overexposure value, a preset normal exposure value and a preset underexposure value to obtain three second scene images of the shooting scene, and the like.
For example, the electronic device may control the camera to expose the shooting scene according to a preset normal exposure value EV0, a preset underexposure value EV-2, and a preset overexposure value EV2, so as to obtain three second scene images of the shooting scene, which are a normal exposure image, an overexposure image, and an underexposure image, respectively, and synthesize a second high dynamic range image of the shooting scene in a bracketing synthesis manner.
At 207, the electronic device presents the first high dynamic range image or the second high dynamic range image as a preview image of the captured scene.
In the embodiment of the application, after the first high dynamic range image is obtained through synthesis, the electronic device displays the synthesized first high dynamic range image as a preview image of a shooting scene, or displays the synthesized second high dynamic range image as a preview image of the shooting scene after the second high dynamic range image is obtained through synthesis.
The first high dynamic range image or the second high dynamic range image is displayed as the preview image of the shooting scene, so that the user can see the high dynamic range effect of the image obtained by shooting the shooting scene in advance, and the user is helped to better shoot.
The embodiment of the application also provides an image processing device. Referring to fig. 7, fig. 7 is a schematic structural diagram of an image processing apparatus according to an embodiment of the present disclosure. The image processing apparatus is applied to an electronic device, and includes a detection module 501, a first synthesis module 502, and a second synthesis module 503, as follows:
the detection module 501 is configured to detect whether a target object meeting a preset motion condition exists in a shooting scene;
a first synthesis module 502, configured to obtain multiple first scene images of a shooting scene according to the same exposure parameter when the shooting scene is not in a static state, and synthesize the multiple first scene images to obtain a first high dynamic range image of the shooting scene;
the second synthesizing module 503 is configured to obtain a plurality of second scene images of the shooting scene according to different exposure parameters when the shooting scene is in a static state, and synthesize the plurality of second scene images to obtain a second high dynamic range image of the shooting scene.
In an embodiment, in detecting whether there is a target object satisfying a preset motion condition in a shooting scene, the detection module 501 may be configured to:
acquiring two cache images of a shooting scene from a preset image cache queue;
identifying the position areas of the same object in the two cached images;
combining the position areas of the same object in the two cache images to obtain a combined position area;
and judging whether the occupation ratio of the merging position area relative to any cache image reaches a preset occupation ratio, if so, judging that the same object is a target object, and otherwise, judging that the target object does not exist in the shooting scene.
In an embodiment, before acquiring a plurality of first scene images of a shooting scene according to the same exposure parameter and synthesizing the plurality of first scene images to obtain a first high dynamic range image of the shooting scene, the first synthesizing module 502 may be further configured to:
identifying whether the position areas of the target object in the two cache images are salient areas or not;
if yes, acquiring a plurality of first scene images of the shooting scene according to the same exposure parameter, and synthesizing the plurality of first scene images to obtain a first high dynamic range image of the shooting scene.
In an embodiment, after the first combining module 502 identifies whether the position areas of the aforementioned target object in the two cached images are the significant areas, the second combining module 503 is further configured to, after the first combining module 502 identifies whether the position areas of the aforementioned same object in the two cached images are the significant areas, if the identification result of the first combining module 502 is no, obtain a plurality of second scene images of the shooting scene according to different exposure parameters, and combine the plurality of second scene images to obtain a second high dynamic range image of the shooting scene.
In one embodiment, when acquiring multiple first scene images of a shooting scene according to the same exposure parameters, the first synthesis module 502 may be configured to:
acquiring a plurality of first scene images of the shooting scene through a first camera and a second camera according to the same exposure parameter respectively;
in acquiring a plurality of second scene images of the shooting scene according to different exposure parameters, the second synthesis module 503 may be configured to:
and acquiring a plurality of second scene images of the shooting scene through the first camera and the second camera according to different exposure parameters.
In an embodiment, the image processing apparatus further comprises a preview module for:
and displaying the first high dynamic range image or the second high dynamic range image as a preview image of the shooting scene.
In an embodiment, the first synthesizing module 502 is further configured to perform downsampling processing on the multiple first scene images according to the current resolution of the screen before the first high dynamic range image is synthesized;
alternatively, the second synthesis module 503 is further configured to perform downsampling processing on the multiple second scene images according to the current resolution of the screen before the second high dynamic range image is synthesized.
In one embodiment, when acquiring multiple first scene images of a shooting scene according to the same exposure parameters, the first synthesis module 502 may be configured to:
and exposing the shooting scene according to the preset short exposure time to obtain a plurality of first scene images.
In one embodiment, when acquiring a plurality of second scene images of a shooting scene according to different exposure parameters, the second synthesis module 503 may be configured to:
and respectively exposing the shooting scene according to the preset over-exposure value and the preset under-exposure value to obtain two second scene images.
It should be noted that the image processing apparatus provided in the embodiment of the present application and the image processing method in the foregoing embodiment belong to the same concept, and any method provided in the embodiment of the image processing method may be executed on the image processing apparatus, and a specific implementation process thereof is described in detail in the embodiment of the image processing method, and is not described herein again.
The embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, which, when the stored computer program is executed on a computer, causes the computer to execute the steps in the image processing method as provided by the embodiment of the present application. The storage medium may be a magnetic disk, an optical disk, a Read Only Memory (ROM), a Random Access Memory (RAM), or the like.
Referring to fig. 8, the electronic device includes a processor 701 and a memory 702. The processor 701 is electrically connected to the memory 702.
The processor 701 is a control center of the electronic device, connects various parts of the entire electronic device using various interfaces and lines, performs various functions of the electronic device and processes data by running or loading a computer program stored in the memory 702 and calling data stored in the memory 702.
The memory 702 may be used to store software programs and modules, and the processor 701 executes various functional applications and data processing by operating the computer programs and modules stored in the memory 702. The memory 702 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, a computer program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created according to use of the electronic device, and the like. Further, the memory 702 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory 702 may also include a memory controller to provide the processor 701 with access to the memory 702.
In this embodiment of the application, the processor 701 in the electronic device loads instructions corresponding to one or more processes of the computer program into the memory 702, and the processor 701 executes the computer program stored in the memory 702, so as to implement various functions as follows:
detecting whether a target object meeting a preset motion condition exists in a shooting scene;
if not, acquiring a plurality of first scene images of the shooting scene according to the same exposure parameter, and synthesizing the plurality of first scene images to obtain a first high dynamic range image of the shooting scene;
if so, acquiring a plurality of second scene images of the shooting scene according to different exposure parameters, and synthesizing the plurality of second scene images to obtain a second high dynamic range image of the shooting scene.
Referring to fig. 9, fig. 9 is another schematic structural diagram of the electronic device according to the embodiment of the present disclosure, and the difference from the electronic device shown in fig. 8 is that the electronic device further includes components such as an input unit 703 and an output unit 704.
The input unit 703 may be used for receiving input numbers, character information, or user characteristic information (such as a fingerprint), and generating a keyboard, a mouse, a joystick, an optical or trackball signal input, etc., related to user settings and function control, among others.
The output unit 704 may be used to display information input by the user or information provided to the user, such as a screen.
In this embodiment of the application, the processor 701 in the electronic device loads instructions corresponding to one or more processes of the computer program into the memory 702, and the processor 701 executes the computer program stored in the memory 702, so as to implement various functions as follows:
detecting whether a target object meeting a preset motion condition exists in a shooting scene;
if not, acquiring a plurality of first scene images of the shooting scene according to the same exposure parameter, and synthesizing the plurality of first scene images to obtain a first high dynamic range image of the shooting scene;
if so, acquiring a plurality of second scene images of the shooting scene according to different exposure parameters, and synthesizing the plurality of second scene images to obtain a second high dynamic range image of the shooting scene.
In an embodiment, in detecting whether there is a target object satisfying a preset motion condition in a shooting scene, the processor 701 may perform:
acquiring two cache images of a shooting scene from a preset image cache queue;
identifying the position areas of the same object in the two cached images;
combining the position areas of the same object in the two cache images to obtain a combined position area;
and judging whether the occupation ratio of the merging position area relative to any cache image reaches a preset occupation ratio, if so, judging that the same object is a target object, and otherwise, judging that the target object does not exist in the shooting scene.
In an embodiment, before acquiring a plurality of first scene images of a shooting scene according to the same exposure parameter and synthesizing the plurality of first scene images to obtain a first high dynamic range image of the shooting scene, the processor 701 may perform:
identifying whether the position areas of the target object in the two cache images are salient areas or not;
if yes, acquiring a plurality of first scene images of the shooting scene according to the same exposure parameter, and synthesizing the plurality of first scene images to obtain a first high dynamic range image of the shooting scene.
In an embodiment, after identifying whether the position area of the aforementioned target object in the two cached images is a significant area, the processor 701 may further perform:
if not, acquiring a plurality of second scene images of the shooting scene according to different exposure parameters, and synthesizing the plurality of second scene images to obtain a second high dynamic range image of the shooting scene.
In one embodiment, when acquiring a plurality of first scene images of a shooting scene according to the same exposure parameter, the processor 701 may perform:
acquiring a plurality of first scene images of the shooting scene through a first camera and a second camera according to the same exposure parameter respectively;
in acquiring a plurality of second scene images of a shooting scene according to different exposure parameters, the processor 701 may perform:
and acquiring a plurality of second scene images of the shooting scene through the first camera and the second camera according to different exposure parameters.
In an embodiment, the processor 701 may further perform:
and displaying the first high dynamic range image or the second high dynamic range image as a preview image of the shooting scene.
In an embodiment, the processor 701 may further perform:
before a first high dynamic range image is obtained through synthesis, down-sampling processing is carried out on a plurality of first scene images according to the current resolution of a screen;
or, before the second high dynamic range image is synthesized, the plurality of second scene images are subjected to down-sampling processing according to the current resolution of the screen.
In one embodiment, when acquiring a plurality of first scene images of a shooting scene according to the same exposure parameter, the processor 701 may perform:
and exposing the shooting scene according to the preset short exposure time to obtain a plurality of first scene images.
In one embodiment, when acquiring a plurality of second scene images of a shooting scene according to different exposure parameters, the processor 701 may perform:
and respectively exposing the shooting scene according to the preset over-exposure value and the preset under-exposure value to obtain two second scene images.
It should be noted that the electronic device provided in the embodiment of the present application and the image processing method in the foregoing embodiment belong to the same concept, and any method provided in the embodiment of the image processing method may be executed on the electronic device, and a specific implementation process thereof is described in detail in the embodiment of the feature extraction method, and is not described herein again.
It should be noted that, for the image processing method of the embodiment of the present application, it can be understood by a person skilled in the art that all or part of the process of implementing the image processing method of the embodiment of the present application can be completed by controlling the relevant hardware through a computer program, where the computer program can be stored in a computer-readable storage medium, such as a memory of an electronic device, and executed by at least one processor in the electronic device, and during the execution process, the process of the embodiment of the image processing method can be included. The storage medium may be a magnetic disk, an optical disk, a read-only memory, a random access memory, etc.
In the image processing apparatus according to the embodiment of the present application, each functional module may be integrated into one processing chip, each module may exist alone physically, or two or more modules may be integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium, such as a read-only memory, a magnetic or optical disk, or the like.
The foregoing detailed description has provided an image processing method, an image processing apparatus, a storage medium, and an electronic device according to embodiments of the present application, and specific examples are applied herein to explain the principles and implementations of the present application, and the descriptions of the foregoing embodiments are only used to help understand the method and the core ideas of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (9)

1. An image processing method applied to an electronic device, the image processing method comprising:
acquiring two cache images of a shooting scene from a preset image cache queue;
identifying the position areas of the same object in the two cached images;
combining the position areas of the same object in the two cache images to obtain a combined position area;
judging whether the occupation ratio of the merging position area relative to the cache image reaches a preset occupation ratio, if so, judging that the same object is a target object, otherwise, judging that the target object does not exist in the shooting scene;
if the target object exists in the shooting scene, identifying whether the position areas of the target object in the two cache images are significant areas, if so, acquiring a plurality of first scene images of the shooting scene according to the same exposure parameter, and synthesizing the plurality of first scene images to obtain a first high dynamic range image of the shooting scene;
if the target object does not exist in the shooting scene or the position areas of the target object in the two cache images are not the salient areas, acquiring a plurality of second scene images of the shooting scene according to different exposure parameters, and synthesizing the plurality of second scene images to obtain a second high dynamic range image of the shooting scene.
2. The image processing method of claim 1, wherein said acquiring a plurality of first scene images of the captured scene according to the same exposure parameter comprises:
acquiring a plurality of first scene images of the shooting scene through a first camera and a second camera according to the same exposure parameter respectively;
the acquiring of the plurality of second scene images of the shooting scene according to the different exposure parameters includes:
and acquiring a plurality of second scene images of the shooting scene through the first camera and the second camera according to different exposure parameters.
3. The image processing method according to claim 1, characterized in that the image processing method further comprises:
and displaying the first high dynamic range image or the second high dynamic range image as a preview image of the shooting scene.
4. The image processing method according to claim 3, characterized in that the image processing method further comprises:
before the first high dynamic range image is obtained through synthesis, down-sampling processing is carried out on a plurality of first scene images according to the current resolution of a screen;
or, before the second high dynamic range image is obtained by synthesis, down-sampling the plurality of second scene images according to the current resolution of the screen.
5. The image processing method of claim 1, wherein said acquiring a plurality of first scene images of the captured scene according to the same exposure parameter comprises:
and exposing the shooting scene according to a preset short exposure time length to obtain a plurality of first scene images.
6. The image processing method of claim 1, wherein said acquiring a plurality of second scene images of the captured scene according to different exposure parameters comprises:
and respectively exposing the shooting scene according to a preset over-exposure value and a preset under-exposure value to obtain two second scene images.
7. An image processing apparatus applied to an electronic device, the image processing apparatus comprising:
the detection module is used for acquiring two cache images of a shooting scene from a preset image cache queue; identifying the position areas of the same object in the two cached images; combining the position areas of the same object in the two cache images to obtain a combined position area; judging whether the occupation ratio of the merging position area relative to the cache image reaches a preset occupation ratio, if so, judging that the same object is a target object, otherwise, judging that the target object does not exist in the shooting scene;
a first synthesizing module, configured to, when the target object exists in the shooting scene, identify whether a position area of the target object in the two cache images is a significant area, if yes, obtain multiple first scene images of the shooting scene according to the same exposure parameter, and synthesize the multiple first scene images to obtain a first high dynamic range image of the shooting scene;
and the second synthesis module is used for acquiring a plurality of second scene images of the shooting scene according to different exposure parameters when the target object does not exist in the shooting scene or the position areas of the target object in the two cache images are not significant areas, and synthesizing the plurality of second scene images to obtain a second high dynamic range image of the shooting scene.
8. A storage medium having stored thereon a computer program, characterized in that, when the computer program is run on a computer, it causes the computer to execute the steps in the image processing method according to any one of claims 1 to 6.
9. An electronic device comprising a processor and a memory, said memory storing a computer program, wherein said processor is adapted to perform the steps of the image processing method according to any of claims 1 to 6 by invoking said computer program.
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