CN113256487A - Image processing method, device, equipment and storage medium - Google Patents
Image processing method, device, equipment and storage medium Download PDFInfo
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Abstract
The application relates to an image processing method, an image processing device, an image processing apparatus and a storage medium. The image processing method comprises the steps of obtaining standard light source color temperature data of target equipment, and conducting interpolation processing on the standard light source color temperature data to obtain a plurality of initial color temperature data of the target equipment; generating a color temperature curve of the target equipment according to the initial color temperature data; acquiring color temperature data of source equipment, and determining a mapping interval according to the color temperature data of the source equipment; obtaining mapping color temperature data corresponding to the color temperature data of the source equipment according to the mapping interval and the color temperature curve of the target equipment; disturbing the mapping color temperature data to obtain disturbed color temperature data; processing the disturbed color temperature data to obtain a first gain coefficient of the target image; and acquiring a second gain coefficient of the image to be converted positioned in the source equipment and the image data of the image to be converted, and processing the first gain coefficient, the second gain coefficient and the image data of the image to be converted to obtain the image data of the target image and output the image data to the target equipment.
Description
Technical Field
The present application relates to the field of image processing technologies, and in particular, to an image processing method, an image processing apparatus, an image processing device, and a storage medium.
Background
Color constancy refers to the perceptual property that the human eye perceives the color of an object surface as remaining unchanged when the light source illuminating the object surface is changed. However, the camera does not have such characteristics, and when the light source is changed, the color of the surface of the object is also changed, and the captured image cannot output the normal color of the original image.
In the implementation process, the inventor finds that at least the following problems exist in the conventional technology: the problems of high acquisition difficulty, data distortion and the like exist in the traditional technology for acquiring color constancy data.
Disclosure of Invention
In view of the above, it is desirable to provide an image processing method, an image processing apparatus, an image processing device, and a storage medium, which can reduce the difficulty of acquiring color constancy data and have a high data reduction degree.
In order to achieve the above object, in one aspect, an embodiment of the present invention provides an image processing method, including:
acquiring standard light source color temperature data of target equipment, and performing interpolation processing on the standard light source color temperature data to obtain a plurality of initial color temperature data of the target equipment;
generating a color temperature curve of the target equipment according to the initial color temperature data;
acquiring color temperature data of source equipment, and determining a mapping interval according to the color temperature data of the source equipment;
obtaining mapping color temperature data corresponding to the color temperature data of the source equipment according to the mapping interval and the color temperature curve of the target equipment;
disturbing the mapping color temperature data to obtain disturbed color temperature data;
processing the disturbed color temperature data to obtain a first gain coefficient of the target image;
and acquiring a second gain coefficient of the image to be converted positioned in the source equipment and the image data of the image to be converted, and processing the first gain coefficient, the second gain coefficient and the image data of the image to be converted to obtain the image data of the target image and output the image data to the target equipment.
In one embodiment, after the step of obtaining the image data of the target image, the method further comprises the steps of:
image data of the target device falling within a preset range is screened out.
In one embodiment, the mapped color temperature data comprises an abscissa of the mapped color temperature point and an ordinate of the mapped color temperature point; the disturbance color temperature data comprises an abscissa of the disturbance color temperature point and an ordinate of the disturbance color temperature point; the step of disturbing the mapping color temperature data to obtain disturbed color temperature data comprises the following steps:
acquiring a first disturbance item corresponding to the abscissa of the mapping color temperature point and a second disturbance item corresponding to the ordinate of the mapping color temperature point;
confirming the abscissa of the mapping color temperature point and the sum of the first disturbance terms as the abscissa of the disturbance color temperature point;
and confirming the sum of the ordinate of the mapping color temperature point and the second perturbation term as the ordinate of the perturbation color temperature point.
In one embodiment, the disturbed color temperature data comprises an abscissa of the disturbed color temperature point and an ordinate of the disturbed color temperature point; the first gain factor comprises a first R channel gain factor and a first B channel gain factor;
the step of processing the disturbance color temperature data to obtain a first gain coefficient of the target image comprises the following steps:
determining the reciprocal of the abscissa of the disturbed color temperature point as a first R channel gain coefficient;
and determining the reciprocal of the ordinate of the disturbed color temperature point as a first B channel gain coefficient.
In one embodiment, the step of obtaining the second gain factor of the image to be converted includes:
acquiring the abscissa and the ordinate of the color temperature point of the image to be converted;
processing the abscissa and the ordinate of the color temperature point of the image to be converted to obtain light source information of the image to be converted; the light source information comprises R channel light source information, G channel light source information and B channel light source information;
determining the quotient of the G channel light source information and the R channel light source information as a second R channel gain coefficient;
and determining the quotient of the G-channel light source information and the B-channel light source information as a second B-channel gain coefficient.
In one embodiment, in the step of processing the first gain coefficient, the second gain coefficient and the image data of the image to be converted to obtain the image data of the target image, the image data of the target image is obtained based on the following formula:
wherein the content of the first and second substances,
is a second R channel gain factor;
is a second B channel gain factor;
、
and
r, G, B-channel pixel values in the image data of the respective target images;
、
and
is the R, G, B channel pixel value in the image data of the image to be converted.
In one embodiment, the standard light source color temperature data comprises an abscissa of the standard color temperature point, an ordinate of the standard color temperature point and a color temperature value of the standard color temperature point;
the initial color temperature data comprises an abscissa of the initial color temperature point, an ordinate of the initial color temperature point and a color temperature value of the initial color temperature point;
in the step of performing interpolation processing on the standard light source color temperature data to obtain a plurality of initial color temperature data of the target device, each initial color temperature data is obtained based on the following formula:
wherein the content of the first and second substances,
and
respectively is the abscissa of any standard color temperature point and the abscissa of another standard color temperature point;
and
respectively is the ordinate of any standard color temperature point and the ordinate of another standard color temperature point;
and
respectively representing the color temperature value of any standard color temperature point and the color temperature value of another standard color temperature point;
and
respectively is the abscissa of the initial color temperature point, the ordinate of the initial color temperature point and the color temperature value of the initial color temperature point.
In one aspect, an embodiment of the present invention further provides an image processing apparatus, including:
the initial color temperature data acquisition module is used for acquiring standard light source color temperature data of the target equipment and performing interpolation processing on the standard light source color temperature data to obtain a plurality of initial color temperature data of the target equipment;
the color temperature curve generating module is used for generating a color temperature curve of the target equipment according to the initial color temperature data;
the mapping interval acquisition module is used for acquiring color temperature data of the source equipment and determining a mapping interval according to the color temperature data of the source equipment;
the mapping module is used for obtaining mapping color temperature data corresponding to the color temperature data of the source equipment according to the mapping interval and the color temperature curve of the target equipment;
the disturbance module is used for carrying out disturbance processing on the mapping color temperature data to obtain disturbance color temperature data;
the first gain coefficient acquisition module is used for processing the disturbed color temperature data to obtain a first gain coefficient of the target image;
the image data conversion module is used for acquiring a second gain coefficient of the image to be converted and image data of the image to be converted, processing the first gain coefficient, the second gain coefficient and the image data of the image to be converted, obtaining and outputting the image data of the target image; the image to be converted is located in the source device, and the target image is located in the target device.
In one aspect, an embodiment of the present invention further provides an image processing apparatus, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps of any one of the above methods when executing the computer program.
In another aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of any one of the methods described above.
One of the above technical solutions has the following advantages and beneficial effects:
according to the image processing method, the mapping interval is determined according to the color temperature data of the source equipment, mapping is carried out according to the mapping interval and the color temperature curve of the target equipment to obtain the mapping color temperature data, and finally generated image data is closer to reality in a mode of carrying out mapping in different intervals, and the problem of truncation errors can be solved. By carrying out disturbance processing on the mapping color temperature data, the generated data is prevented from being excessively concentrated, so that the image color temperature data is closer to the real data. In addition, the image data of the target image is finally generated through the first gain coefficient, the second gain coefficient and the image data of the image to be converted, so that the target image displayed in the target equipment can restore the image data of the source equipment, and the acquisition difficulty and the distortion degree of the color constancy data are reduced. The conversion relation of the color constancy data (color temperature conversion of a plurality of images) is improved through the method, the image data and the light source information of the target equipment can be quickly obtained through conversion, and the time cost of data acquisition is saved.
Drawings
The foregoing and other objects, features and advantages of the application will be apparent from the following more particular description of preferred embodiments of the application, as illustrated in the accompanying drawings. Like reference numerals refer to like parts throughout the drawings, and the drawings are not intended to be drawn to scale in actual dimensions, emphasis instead being placed upon illustrating the subject matter of the present application.
FIG. 1 is a diagram of an exemplary embodiment of an image processing method;
FIG. 2 is a graph of a color temperature curve of a target device in one embodiment;
FIG. 3 is a flowchart illustrating steps of performing a perturbation process on the mapped color temperature data to obtain perturbed color temperature data according to an embodiment;
FIG. 4 is a flowchart illustrating the steps of processing the disturbed color temperature data to obtain a first gain factor of the target image according to an embodiment;
FIG. 5 is a flowchart illustrating the steps of obtaining a second gain factor for an image to be transformed according to one embodiment;
FIG. 6 is a block diagram showing the configuration of an image processing apparatus according to an embodiment;
fig. 7 is an internal configuration diagram of an image processing apparatus in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In one embodiment, as shown in fig. 1, there is provided an image processing method including the steps of:
s110, acquiring standard light source color temperature data of target equipment, and performing interpolation processing on the standard light source color temperature data to obtain a plurality of initial color temperature data of the target equipment;
the target device may be any image capturing device in the art, such as a sensor, a camera, a video camera, and the like. The standard light source color temperature data is color temperature data of target equipment under a standard light source. The initial color temperature data of the target equipment is obtained by interpolation processing.
Specifically, any difference processing method in the art can be adopted to process the color temperature data of the standard light source, such as linear interpolation processing, log domain interpolation processing, and other interpolation processing means. And the color temperature data under other light sources can be obtained by interpolating the color temperature data of the standard light source. In one specific example, the color temperature data includes abscissa and ordinate of the color temperature point. The color temperature data under the two standard light sources can be subjected to interpolation processing to obtain the color temperature data between the two standard light sources. For example: acquiring color temperature data of a standard light source: and carrying out interpolation processing on any two color temperature data of 6500K, 4000K, 3000K and 2850K to obtain a plurality of initial color temperature data of the target device.
Further, the color temperature data of the standard light source can be obtained by placing a color card in a light box, closing modules influencing colors in target equipment, such as CCM and saturation processing, and the like, then collecting a corresponding picture and subtracting a blc value, and then solving corresponding r _ g and b _ g of an unexposed white block in the color card according to the following formula:
r, G, B represents the pixel mean of R, G, B channels in the non-overexposed white block, and R _ G and b _ G represent the ratio of the pixel mean of the R and G channels and the ratio of the pixel mean of the B, G channels, respectively, as the abscissa and ordinate of the color temperature point.
S120, generating a color temperature curve of the target equipment according to the initial color temperature data;
specifically, the initial color temperature data includes an abscissa and an ordinate of the initial color temperature point. The color temperature curve is shown in fig. 2: the D65, TL84, U30 and A light sources are standard light sources, corresponding to color temperatures of 6500K, 4000K, 3000K and 2850K, respectively. r _ g and b _ g are used as the abscissa and ordinate of the color temperature point.
And fitting to generate a color temperature curve of the target equipment according to the plurality of initial color temperature points obtained by interpolation.
S130, acquiring color temperature data of source equipment, and determining a mapping interval according to the color temperature data of the source equipment;
wherein the source device is another image capturing device, which is different from the target device.
Specifically, the color temperature data of the source device may be obtained by any means in the art. Further, the mapping interval may be determined according to color temperature data of the source device. The mapping interval may be divided in advance, for example, the mapping interval may be divided into less than 3600k, 3600-5300k, 5300k-6300k and more than 6300 k. The step of determining the mapping interval according to the color temperature data of the source device includes: and acquiring a color temperature curve of the source equipment, acquiring a corresponding color temperature value according to the color temperature data and the color temperature curve of the source equipment, and determining a mapping interval according to the color temperature value. For example, if the color temperature value is 3700k, the mapping interval is 3600-5300 k.
S140, obtaining mapping color temperature data corresponding to the color temperature data of the source equipment according to the mapping interval and the color temperature curve of the target equipment;
specifically, the color temperature data of the source device is mapped onto the color temperature curve of the target device according to the mapping interval and the color temperature curve of the target device. In one specific example, color temperature data at a color temperature point of greater than 6500K on the source device is converted to a color temperature point of greater than 6500K on the destination device, data at a color temperature point between 5300K-6500K on the source device is converted to a color temperature point between 5300K-6500K on the destination device, data at a color temperature point between 3600K-5300K on the source device is converted to a color temperature point between 3600K-5300K on the destination device, and data at a color temperature point of less than 3600K on the data at the source device is converted to a color temperature point of less than 3600K on the destination device. By means of the partition mapping, the produced data can be closer to reality.
S150, carrying out disturbance processing on the mapping color temperature data to obtain disturbance color temperature data;
specifically, the disturbance processing is to add an interference item to the obtained mapping color temperature data so as to avoid the produced disturbance color temperature data from being too concentrated.
S160, processing the disturbed color temperature data to obtain a first gain coefficient of the target image;
wherein the target image is displayed on the target device.
Specifically, the disturbance color temperature data may be processed by any means in the art, and the first gain coefficient may be obtained.
S170, acquiring a second gain coefficient of the image to be converted positioned in the source equipment and the image data of the image to be converted, processing the first gain coefficient, the second gain coefficient and the image data of the image to be converted to obtain the image data of the target image and outputting the image data to the target equipment.
Wherein, the image to be converted is the image collected by the source equipment. The image data of the image to be converted includes R, G, B-channel pixel values.
Specifically, the second gain coefficient of the image to be converted may be acquired by any means in the art. And obtaining the image data of the target image according to the first gain coefficient, the second gain coefficient and the image data of the image to be converted. In one embodiment, in the step of processing the first gain coefficient, the second gain coefficient and the image data of the image to be converted to obtain the image data of the target image, the image data of the target image is obtained based on the following formula:
wherein the content of the first and second substances,
is a second R channel gain factor;
is a second B channel gain factor;
、
and
r, G, B-channel pixel values in the image data of the respective target images;
、
and
is the R, G, B channel pixel value in the image data of the image to be converted.
According to the image processing method, the mapping interval is determined according to the color temperature data of the source equipment, mapping is carried out according to the mapping interval and the color temperature curve of the target equipment to obtain the mapping color temperature data, and finally generated image data is closer to reality in a mode of carrying out mapping in different intervals, and the problem of truncation errors can be solved. By carrying out disturbance processing on the mapping color temperature data, the generated data is prevented from being excessively concentrated. In addition, the image data of the target image is finally generated through the first gain coefficient, the second gain coefficient and the image data of the image to be converted, so that the target image displayed in the target equipment can restore the image data of the source equipment, and the acquisition difficulty and the distortion degree of the color constancy data are reduced. The conversion relation of the color constancy data (color temperature conversion of a plurality of images) is improved through the method, the image data and the light source information of the target equipment can be quickly obtained through conversion, and the time cost of data acquisition is saved.
In one embodiment, after the step of obtaining the image data of the target image, the method further comprises the steps of:
image data of the target device falling within a preset range is screened out.
Specifically, the image data of the target image may have two problems: 1. the image data of the source equipment may have partial overexposure or close overexposure, the data of the partial overexposure has truncation errors, and the errors can be amplified after conversion; 2. the resulting pixel values of the target device image data may be out of bounds or close to out of bounds, assuming an 8bit image, the pixel values range from 0,255. The larger pixels of the source device data R or B channel may cross the boundary after conversion, which may result in truncation errors. In order to limit the above phenomenon, pixel points falling within a preset range in the image data of the target device may be screened out. Specifically, image data having pixel values falling within a preset range may be set to 0 or 255.
In one embodiment, as shown in fig. 3, the mapped color temperature data includes an abscissa of the mapped color temperature point and an ordinate of the mapped color temperature point; the disturbance color temperature data comprises an abscissa of the disturbance color temperature point and an ordinate of the disturbance color temperature point; the step of disturbing the mapping color temperature data to obtain disturbed color temperature data comprises the following steps:
s310, acquiring a first disturbance item corresponding to the abscissa of the mapping color temperature point and a second disturbance item corresponding to the ordinate of the mapping color temperature point;
specifically, the first perturbation term and the second perturbation term may be randomly selected within a preset interval.
S320, confirming the sum of the abscissa of the mapping color temperature point and the first disturbance term as the abscissa of the disturbance color temperature point;
and S330, confirming the sum of the ordinate of the mapping color temperature point and the second perturbation term as the ordinate of the perturbation color temperature point.
Specifically, the abscissa and the ordinate of the disturbed color temperature point can be obtained by the following formula.
In one embodiment, as shown in fig. 4, the disturbed color temperature data includes an abscissa of the disturbed color temperature point and an ordinate of the disturbed color temperature point; the first gain factor comprises a first R channel gain factor and a first B channel gain factor;
the step of processing the disturbance color temperature data to obtain a first gain coefficient of the target image comprises the following steps:
s410, determining the reciprocal of the abscissa of the disturbed color temperature point as a first R channel gain coefficient;
and S420, determining the reciprocal of the ordinate of the disturbed color temperature point as a first B channel gain coefficient.
In one embodiment, as shown in fig. 5, the step of obtaining the second gain factor of the image to be converted includes:
s510, acquiring the abscissa and the ordinate of the color temperature point of the image to be converted;
specifically, the abscissa and the ordinate of the color temperature point of the image to be converted can be acquired by any means in the art. In one specific example, the abscissa and the ordinate of the color temperature point of the image to be converted are obtained from the RGB three-channel pixel mean value R, G, B of the non-overexposed white block in the image to be converted. The abscissa of the color temperature point of the image to be converted is R/G, and the ordinate is B/G. The non-overexposed white blocks can be obtained by the steps of obtaining the color temperature data of the standard light source.
S520, processing the abscissa and the ordinate of the color temperature point of the image to be converted to obtain light source information of the image to be converted; the light source information comprises R channel light source information, G channel light source information and B channel light source information;
specifically, R-channel light source information is obtained based on the following formula
G channel light source information
And B channel light source information
(ii) a Wherein z is a normalization coefficient.
Wherein the content of the first and second substances,
and
respectively the abscissa and ordinate of the color temperature point of the image to be converted.
S530, determining the quotient of the G channel light source information and the R channel light source information as a second R channel gain coefficient;
and S540, determining the quotient of the G-channel light source information and the B-channel light source information as a second B-channel gain coefficient.
In one embodiment, the standard light source color temperature data comprises an abscissa of the standard color temperature point, an ordinate of the standard color temperature point and a color temperature value of the standard color temperature point;
the initial color temperature data comprises an abscissa of the initial color temperature point, an ordinate of the initial color temperature point and a color temperature value of the initial color temperature point;
in the step of performing interpolation processing on the standard light source color temperature data to obtain a plurality of initial color temperature data of the target device, each initial color temperature data is obtained based on the following formula:
；
wherein the content of the first and second substances,
and
respectively is the abscissa of any standard color temperature point and the abscissa of another standard color temperature point;
and
respectively is the ordinate of any standard color temperature point and the ordinate of another standard color temperature point;
and
respectively representing the color temperature value of any standard color temperature point and the color temperature value of another standard color temperature point;
and
respectively is the abscissa of the initial color temperature point, the ordinate of the initial color temperature point and the color temperature value of the initial color temperature point.
It should be understood that although the various steps in the flow charts of fig. 1-5 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 1-5 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 6, there is provided an image processing apparatus including:
the initial color temperature data acquisition module is used for acquiring standard light source color temperature data of the target equipment and performing interpolation processing on the standard light source color temperature data to obtain a plurality of initial color temperature data of the target equipment;
the color temperature curve generating module is used for generating a color temperature curve of the target equipment according to the initial color temperature data;
the mapping interval acquisition module is used for acquiring color temperature data of the source equipment and determining a mapping interval according to the color temperature data of the source equipment;
the mapping module is used for obtaining mapping color temperature data corresponding to the color temperature data of the source equipment according to the mapping interval and the color temperature curve of the target equipment;
the disturbance module is used for carrying out disturbance processing on the mapping color temperature data to obtain disturbance color temperature data;
the first gain coefficient acquisition module is used for processing the disturbed color temperature data to obtain a first gain coefficient of the target image;
the image data conversion module is used for acquiring a second gain coefficient of the image to be converted and image data of the image to be converted, processing the first gain coefficient, the second gain coefficient and the image data of the image to be converted, obtaining and outputting the image data of the target image; the image to be converted is located in the source device, and the target image is located in the target device.
In one embodiment, the system further comprises a screening module for screening out image data of the target device falling within a preset range.
In one embodiment, the perturbation module comprises:
the disturbance item acquisition module is used for acquiring a first disturbance item corresponding to the abscissa of the mapping color temperature point and a second disturbance item corresponding to the ordinate of the mapping color temperature point;
the abscissa determining module is used for determining the sum of the abscissa of the mapped color temperature point and the first perturbation term as the abscissa of the perturbed color temperature point;
and the ordinate determining module is used for determining the sum of the ordinate of the mapping color temperature point and the second disturbance item as the ordinate of the disturbance color temperature point.
In one embodiment, the first gain factor obtaining module comprises:
the first R channel gain coefficient acquisition module is used for determining the reciprocal of the abscissa of the disturbed color temperature point as a first R channel gain coefficient;
and the first B channel gain coefficient acquisition module is used for determining the reciprocal of the ordinate of the disturbed color temperature point as the first B channel gain coefficient.
In one embodiment, the image data conversion module includes:
the image to be converted acquisition module is used for acquiring the abscissa and the ordinate of the color temperature point of the image to be converted;
the light source information processing module is used for processing the abscissa and the ordinate of the color temperature point of the image to be converted to obtain light source information of the image to be converted; the light source information comprises R channel light source information, G channel light source information and B channel light source information;
the second R channel gain coefficient acquisition module is used for determining the quotient of the G channel light source information and the R channel light source information as a second R channel gain coefficient;
and the second B-channel gain coefficient acquisition module is used for determining the quotient of the G-channel light source information and the B-channel light source information as a second B-channel gain coefficient.
For specific limitations of the image processing apparatus, reference may be made to the above limitations of the image processing method, which are not described herein again. The respective modules in the image processing apparatus described above may be wholly or partially implemented by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, an image processing apparatus is provided, and the computer apparatus may be a terminal, and its internal structure diagram may be as shown in fig. 7. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement an image processing method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring standard light source color temperature data of target equipment, and performing interpolation processing on the standard light source color temperature data to obtain a plurality of initial color temperature data of the target equipment;
generating a color temperature curve of the target equipment according to the initial color temperature data;
acquiring color temperature data of source equipment, and determining a mapping interval according to the color temperature data of the source equipment;
obtaining mapping color temperature data corresponding to the color temperature data of the source equipment according to the mapping interval and the color temperature curve of the target equipment;
disturbing the mapping color temperature data to obtain disturbed color temperature data;
processing the disturbed color temperature data to obtain a first gain coefficient of the target image;
and acquiring a second gain coefficient of the image to be converted positioned in the source equipment and the image data of the image to be converted, and processing the first gain coefficient, the second gain coefficient and the image data of the image to be converted to obtain the image data of the target image and output the image data to the target equipment.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
image data of the target device falling within a preset range is screened out.
In one embodiment, the processor performs the step of performing the disturbance processing on the mapping color temperature data to obtain the disturbance color temperature data, and further performs the following steps:
acquiring a first disturbance item corresponding to the abscissa of the mapping color temperature point and a second disturbance item corresponding to the ordinate of the mapping color temperature point;
confirming the abscissa of the mapping color temperature point and the sum of the first disturbance terms as the abscissa of the disturbance color temperature point;
and confirming the sum of the ordinate of the mapping color temperature point and the second perturbation term as the ordinate of the perturbation color temperature point.
In one embodiment, the processor further performs the step of processing the disturbance color temperature data to obtain the first gain coefficient of the target image by:
determining the reciprocal of the abscissa of the disturbed color temperature point as a first R channel gain coefficient;
and determining the reciprocal of the ordinate of the disturbed color temperature point as a first B channel gain coefficient.
In one embodiment, the processor further performs the step of obtaining a second gain factor for the image to be converted by:
acquiring the abscissa and the ordinate of the color temperature point of the image to be converted;
processing the abscissa and the ordinate of the color temperature point of the image to be converted to obtain light source information of the image to be converted; the light source information comprises R channel light source information, G channel light source information and B channel light source information;
determining the quotient of the G channel light source information and the R channel light source information as a second R channel gain coefficient;
and determining the quotient of the G-channel light source information and the B-channel light source information as a second B-channel gain coefficient.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring standard light source color temperature data of target equipment, and performing interpolation processing on the standard light source color temperature data to obtain a plurality of initial color temperature data of the target equipment;
generating a color temperature curve of the target equipment according to the initial color temperature data;
acquiring color temperature data of source equipment, and determining a mapping interval according to the color temperature data of the source equipment;
obtaining mapping color temperature data corresponding to the color temperature data of the source equipment according to the mapping interval and the color temperature curve of the target equipment;
disturbing the mapping color temperature data to obtain disturbed color temperature data;
processing the disturbed color temperature data to obtain a first gain coefficient of the target image;
and acquiring a second gain coefficient of the image to be converted positioned in the source equipment and the image data of the image to be converted, and processing the first gain coefficient, the second gain coefficient and the image data of the image to be converted to obtain the image data of the target image and output the image data to the target equipment.
In one embodiment, the computer program when executed by the processor further performs the steps of:
image data of the target device falling within a preset range is screened out.
In one embodiment, the step of performing a perturbation process on the mapped color temperature data to obtain the perturbed color temperature data when executed by the processor further comprises the steps of:
acquiring a first disturbance item corresponding to the abscissa of the mapping color temperature point and a second disturbance item corresponding to the ordinate of the mapping color temperature point;
confirming the abscissa of the mapping color temperature point and the sum of the first disturbance terms as the abscissa of the disturbance color temperature point;
and confirming the sum of the ordinate of the mapping color temperature point and the second perturbation term as the ordinate of the perturbation color temperature point.
In one embodiment, the step of processing the disturbance color temperature data to obtain the first gain coefficient of the target image further comprises the following steps when being executed by the processor:
determining the reciprocal of the abscissa of the disturbed color temperature point as a first R channel gain coefficient;
and determining the reciprocal of the ordinate of the disturbed color temperature point as a first B channel gain coefficient.
In one embodiment, the step of obtaining the second gain factor of the image to be converted, when executed by the processor, further comprises the steps of:
acquiring the abscissa and the ordinate of the color temperature point of the image to be converted;
processing the abscissa and the ordinate of the color temperature point of the image to be converted to obtain light source information of the image to be converted; the light source information comprises R channel light source information, G channel light source information and B channel light source information;
determining the quotient of the G channel light source information and the R channel light source information as a second R channel gain coefficient;
and determining the quotient of the G-channel light source information and the B-channel light source information as a second B-channel gain coefficient.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus DRAM (RDRAM), and interface DRAM (DRDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. An image processing method, characterized by comprising the steps of:
acquiring standard light source color temperature data of target equipment, and performing interpolation processing on the standard light source color temperature data to obtain a plurality of initial color temperature data of the target equipment;
generating a color temperature curve of the target equipment according to the initial color temperature data;
acquiring color temperature data of source equipment, and determining a mapping interval according to the color temperature data of the source equipment;
obtaining mapping color temperature data corresponding to the color temperature data of the source equipment according to the mapping interval and the color temperature curve of the target equipment;
disturbing the mapping color temperature data to obtain disturbed color temperature data;
processing the disturbed color temperature data to obtain a first gain coefficient of a target image;
and acquiring a second gain coefficient of an image to be converted positioned in source equipment and image data of the image to be converted, and processing the first gain coefficient, the second gain coefficient and the image data of the image to be converted to obtain the image data of the target image and output the image data to the target equipment.
2. The image processing method according to claim 1, further comprising, after the step of obtaining the image data of the target image, the steps of:
and screening out the image data of the target equipment falling into a preset range.
3. The image processing method according to claim 1, wherein the mapped color temperature data includes an abscissa of a mapped color temperature point and an ordinate of the mapped color temperature point; the disturbance color temperature data comprises an abscissa of a disturbance color temperature point and an ordinate of the disturbance color temperature point;
the step of disturbing the mapping color temperature data to obtain disturbed color temperature data comprises the following steps:
acquiring a first disturbance item corresponding to the abscissa of the mapping color temperature point and a second disturbance item corresponding to the ordinate of the mapping color temperature point;
confirming the abscissa of the mapping color temperature point and the sum of the first perturbation terms as the abscissa of the perturbation color temperature point;
and confirming the sum of the ordinate of the mapping color temperature point and the second perturbation term as the ordinate of the perturbation color temperature point.
4. The image processing method according to claim 1, wherein the disturbance color temperature data includes an abscissa of a disturbance color temperature point and an ordinate of the disturbance color temperature point; the first gain factor comprises a first R channel gain factor and a first B channel gain factor;
the step of processing the disturbance color temperature data to obtain a first gain coefficient of the target image comprises the following steps:
determining the reciprocal of the abscissa of the disturbed color temperature point as the first R channel gain coefficient;
and determining the reciprocal of the ordinate of the disturbed color temperature point as the first B channel gain coefficient.
5. The image processing method according to claim 4, wherein the second gain coefficient includes a second R-channel gain coefficient and a second B-channel gain coefficient; the step of obtaining the second gain coefficient of the image to be converted comprises the following steps:
acquiring the abscissa and the ordinate of the color temperature point of the image to be converted;
processing the abscissa and the ordinate of the color temperature point of the image to be converted to obtain light source information of the image to be converted; the light source information comprises R channel light source information, G channel light source information and B channel light source information;
determining a quotient of the G-channel light source information and the R-channel light source information as the second R-channel gain coefficient;
and determining the quotient of the G-channel light source information and the B-channel light source information as the second B-channel gain coefficient.
6. The image processing method according to claim 5, wherein in the step of processing the first gain coefficient, the second gain coefficient and the image data of the image to be converted to obtain the image data of the target image, the image data of the target image is obtained based on the following formula:
wherein the content of the first and second substances,
is the second R channel gain factor;
is the second B channel gain factor;
、
and
r, G in the image data of the target image,Pixel values of the B channel;
、
and
is the R, G, B channel pixel value in the image data of the image to be converted.
7. The image processing method according to claim 1, wherein the standard light source color temperature data includes an abscissa of a standard color temperature point, an ordinate of the standard color temperature point, and a color temperature value of the standard color temperature point;
the initial color temperature data comprises an abscissa of an initial color temperature point, an ordinate of the initial color temperature point and a color temperature value of the initial color temperature point;
in the step of performing interpolation processing on the standard light source color temperature data to obtain a plurality of initial color temperature data of the target device, each initial color temperature data is obtained based on the following formula:
wherein the content of the first and second substances,
and
respectively is the abscissa of any one standard color temperature point and the abscissa of another standard color temperature point;
and
respectively is the ordinate of any standard color temperature point and the ordinate of another standard color temperature point;
and
the color temperature value of any standard color temperature point and the color temperature value of another standard color temperature point are respectively obtained;
and
respectively is the abscissa of the initial color temperature point, the ordinate of the initial color temperature point and the color temperature value of the initial color temperature point.
8. An image processing apparatus characterized by comprising:
the device comprises an initial color temperature data acquisition module, a color temperature data acquisition module and a color temperature data acquisition module, wherein the initial color temperature data acquisition module is used for acquiring standard light source color temperature data of target equipment and carrying out interpolation processing on the standard light source color temperature data to obtain a plurality of initial color temperature data of the target equipment;
the color temperature curve generating module is used for generating a color temperature curve of the target equipment according to the initial color temperature data;
the mapping interval acquisition module is used for acquiring color temperature data of source equipment and determining a mapping interval according to the color temperature data of the source equipment;
the mapping module is used for obtaining mapping color temperature data corresponding to the color temperature data of the source equipment according to the mapping interval and the color temperature curve of the target equipment;
the disturbance module is used for carrying out disturbance processing on the mapping color temperature data to obtain disturbance color temperature data;
the first gain coefficient acquisition module is used for processing the disturbance color temperature data to obtain a first gain coefficient of the target image;
the image data conversion module is used for acquiring a second gain coefficient of an image to be converted and image data of the image to be converted, processing the first gain coefficient, the second gain coefficient and the image data of the image to be converted, obtaining and outputting the image data of the target image; the image to be converted is located in the source device, and the target image is located in the target device.
9. An image processing apparatus comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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