CN114697470A - Camera debugging method and device - Google Patents
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Abstract
The disclosure provides a camera debugging method and device. The method comprises the following steps: the method comprises the steps of determining a target signal-to-noise ratio corresponding to a gain in gain information according to a corresponding relation between the gain and the signal-to-noise ratio which are set for a first camera and used in a first image processing mode under the condition that the gain information and adaptive noise reduction parameters are set for the debugged first camera, determining a target gain corresponding to the target signal-to-noise ratio according to a corresponding relation between the gain and the signal-to-noise ratio which are set for a second camera to be debugged and used in a second image processing mode, and constructing a use relation between the target gain and the noise reduction parameters for the second camera and used in the second image processing mode. Compared with the method for adjusting the noise reduction parameters in the prior art, the method provided by the embodiment of the disclosure has the advantages of simple operation, high speed, high accuracy of the debugging result and the like.
Description
Technical Field
The present disclosure relates to the field of computer communication technologies, and in particular, to a method and an apparatus for debugging a camera.
Background
For the electronic equipment provided with the camera, the camera arranged on the electronic equipment needs to be debugged before the electronic equipment leaves a factory so as to ensure the shooting effect of the electronic equipment.
After the electronic equipment acquires the original image shot by the camera, the noise reduction parameter is used for carrying out noise reduction processing on the original image so as to improve the image quality. In the related art, the debugging of the camera is realized by adjusting the noise reduction parameters. However, the noise reduction parameters are various, and it takes a long time to achieve a desired noise reduction effect by adjusting the noise reduction parameters.
Disclosure of Invention
In order to overcome the problems in the related art, the present disclosure provides a method and an apparatus for debugging a camera.
According to a first aspect of the embodiments of the present disclosure, a method for debugging a camera is provided, where the method includes:
under the condition that gain information used in a first image processing mode and adaptive noise reduction parameters are set for a debugged first camera, determining a target signal-to-noise ratio corresponding to a gain in the gain information according to a corresponding relation between the gain used in the first image processing mode and the signal-to-noise ratio set for the first camera;
determining a target gain corresponding to the target signal-to-noise ratio according to the corresponding relation between the gain used in a second image processing mode and the signal-to-noise ratio, which is set aiming at a second camera to be debugged;
constructing a usage relationship of the target gain used in the second image processing mode and the noise reduction parameter for the second camera.
Optionally, the determining, according to a correspondence between a gain used in the first image processing mode and a signal-to-noise ratio set for the first camera, a target signal-to-noise ratio corresponding to the gain in the gain information includes:
after a first curve drawn for the first camera using the first image processing mode is acquired, the first curve having a signal-to-noise ratio as an abscissa and a gain as an ordinate, the target signal-to-noise ratio corresponding to a gain in the gain information on the first curve is determined.
Optionally, the method further comprises:
acquiring original images shot by the first camera using the first image processing mode under different light sources, wherein the brightness of different light sources is different;
determining a signal-to-noise ratio of each original image captured using the first camera;
determining multiple groups of gains and signal-to-noise ratios according to the brightness of multiple groups of light sources and the signal-to-noise ratio of an original image shot by the first camera under the light sources;
and drawing the first curve according to the multiple groups of gains and signal-to-noise ratios determined aiming at the first camera.
Optionally, the determining, according to a correspondence between a gain used in a second image processing mode and a signal-to-noise ratio, which is set for a second camera to be debugged, a target gain corresponding to the target signal-to-noise ratio includes:
after a second curve drawn for the second camera using the second image processing mode is acquired, the second curve having a signal-to-noise ratio as an abscissa and a gain as an ordinate, the target gain corresponding to the target signal-to-noise ratio on the second curve is determined.
Optionally, the method further comprises:
acquiring original images shot by the second camera using the second image processing mode under different light sources, wherein the brightness of different light sources is different;
determining a signal-to-noise ratio of each original image captured using the second camera;
determining a plurality of groups of gains and signal-to-noise ratios according to the brightness of a plurality of groups of light sources and the signal-to-noise ratio of an original image shot by the second camera under the light sources;
and drawing the second curve according to the multiple groups of gains and signal-to-noise ratios determined aiming at the second camera.
Optionally, the gain information includes a gain interval, each endpoint of the gain interval is used to determine one target gain, and two target gains are used to determine one target gain interval; the constructing a usage relationship of the target gain used in the second image processing mode for the second camera and the noise reduction parameter includes:
and constructing a use relation between the target gain interval used in the second image processing mode and the noise reduction parameter for the second camera.
Optionally, multiple noise reduction parameters are set for the first image processing mode, each noise reduction parameter is provided with N gain intervals, N is a positive integer greater than or equal to two, the N gain intervals are sorted according to a preset rule, adaptive noise reduction parameters are set for each gain interval in the N gain intervals, and the gain intervals with the same sort are the same for different types of noise reduction parameters; the method further comprises the following steps:
after the target gain interval is determined, under the condition that the sequence of the gain interval is M and M is a positive integer less than or equal to N, determining a target noise reduction parameter matched with the gain interval sequenced into M aiming at another noise reduction parameter included by the multiple noise reduction parameters;
and aiming at the other noise reduction parameter used by the second camera in the second image processing mode, constructing a use relation between the target gain interval and the target noise reduction parameter.
According to a second aspect of the embodiments of the present disclosure, there is provided a camera debugging apparatus, the apparatus including:
the target signal-to-noise ratio determining module is configured to determine a target signal-to-noise ratio corresponding to a gain in the gain information according to a corresponding relation between the gain used in the first image processing mode and the signal-to-noise ratio set for the first camera under the condition that the gain information used in the first image processing mode and the adaptive noise reduction parameter are set for the debugged first camera;
the gain determination module is configured to determine a target gain corresponding to the target signal-to-noise ratio according to a corresponding relation between a gain used in a second image processing mode and the signal-to-noise ratio, which is set for a second camera to be debugged;
a usage relationship construction module configured to construct a usage relationship of the target gain used in the second image processing mode and the noise reduction parameter for the second camera.
Optionally, the target snr determining module is configured to determine, after acquiring a first curve drawn for the first camera using the first image processing mode, the first curve taking an snr as an abscissa and taking a gain as an ordinate, the target snr corresponding to a gain in the gain information on the first curve.
Optionally, the apparatus further comprises:
a first image acquisition module configured to acquire original images photographed by the first camera using the first image processing mode under different light sources, the brightness of the different light sources being different;
a first image acquisition module configured to determine a signal-to-noise ratio of each original image captured using the first camera;
a first information determination module configured to determine a plurality of sets of gains and signal-to-noise ratios according to luminances of a plurality of sets of light sources and signal-to-noise ratios of original images photographed under the light sources using the first camera;
a first curve plotting module configured to plot the first curve according to the plurality of sets of gains and signal-to-noise ratios determined for the first camera.
Optionally, the gain determining module is configured to determine the target gain corresponding to the target signal-to-noise ratio on a second curve, which is plotted for the second camera using the second image processing mode and has a signal-to-noise ratio as an abscissa and a gain as an ordinate, after acquiring the second curve.
Optionally, the apparatus further comprises:
a second image acquisition module configured to acquire original images photographed by the second camera using the second image processing mode under different light sources, the brightness of the different light sources being different;
a second image acquisition module configured to determine a signal-to-noise ratio of each raw image captured using the second camera;
a second information determination module configured to determine a plurality of sets of gains and signal-to-noise ratios according to luminances of a plurality of sets of light sources and signal-to-noise ratios of original images photographed under the light sources using the second camera;
a second curve plotting module configured to plot the second curve according to the plurality of sets of gains and signal-to-noise ratios determined for the second camera.
Optionally, the gain information includes a gain interval, each endpoint of the gain interval is used to determine one target gain, and two target gains are used to determine one target gain interval;
the usage relation construction module is configured to construct a usage relation between the target gain section used in the second image processing mode and the noise reduction parameter for the second camera.
Optionally, multiple noise reduction parameters are set for the first image processing mode, each noise reduction parameter is provided with N gain intervals, N is a positive integer greater than or equal to two, the N gain intervals are sorted according to a preset rule, adaptive noise reduction parameters are set for each gain interval in the N gain intervals, and the gain intervals with the same sort are the same for different types of noise reduction parameters; the device further comprises:
a parameter determining module configured to determine, after the target gain interval is determined, a target noise reduction parameter adapted to the gain interval ordered to M for another noise reduction parameter included in the plurality of noise reduction parameters when the gain interval ordered to M is a positive integer smaller than or equal to N;
a relation construction module configured to construct a usage relation between the target gain interval and the target noise reduction parameter for the other noise reduction parameter used by the second camera in the second image processing mode.
According to a third aspect of embodiments of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any one of the above first aspects.
According to a fourth aspect of the embodiments of the present disclosure, there is provided an electronic apparatus including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
under the condition that gain information used in a first image processing mode and adaptive noise reduction parameters are set for a debugged first camera, determining a target signal-to-noise ratio corresponding to a gain in the gain information according to a corresponding relation between the gain used in the first image processing mode and the signal-to-noise ratio set for the first camera;
determining a target gain corresponding to the target signal-to-noise ratio according to a corresponding relation between a gain used in a second image processing mode and the signal-to-noise ratio, which is set for a second camera to be debugged;
constructing a usage relationship of the target gain used in the second image processing mode and the noise reduction parameter for the second camera.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
the embodiment of the disclosure provides a novel camera debugging method, which includes a debugged first camera and a second camera which is not debugged, wherein under the condition that gain information used in a first image processing mode and adaptive noise reduction parameters are set for the debugged first camera, a target signal-to-noise ratio corresponding to a gain in the gain information is determined according to a corresponding relation between the gain used in the first image processing mode and the signal-to-noise ratio set for the first camera, a target gain corresponding to the target signal-to-noise ratio is determined according to a corresponding relation between the gain used in the second image processing mode and the signal-to-noise ratio set for the second camera to be debugged, and a use relation between the target gain used in the second image processing mode and the noise reduction parameters for the second camera is constructed. Compared with the method for adjusting the noise reduction parameters in the prior art, the method provided by the embodiment of the disclosure has the advantages of simple operation, high speed, high accuracy of the debugging result and the like.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
FIG. 1 is a flowchart illustrating a method for debugging a camera in accordance with an exemplary embodiment;
FIG. 2 is a graph illustrating according to an exemplary embodiment;
FIG. 3 is a diagram illustrating image processing code used by a second camera in different modes according to an exemplary embodiment;
FIG. 4 is an image shown in accordance with an exemplary embodiment;
FIG. 5 is another image shown in accordance with an exemplary embodiment;
FIG. 6 is a block diagram illustrating a camera debugging apparatus according to an exemplary embodiment;
fig. 7 is a schematic structural diagram of an electronic device according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. The following description refers to the accompanying drawings in which the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
For the electronic equipment provided with the camera, the camera arranged on the electronic equipment needs to be debugged before the electronic equipment leaves a factory so as to ensure the shooting effect of the electronic equipment.
For some cameras, the camera includes a photosensitive chip in which gain and noise reduction parameters are stored. In the related art, the debugging of the camera is realized by adjusting the noise reduction parameters. In the embodiment of the disclosure, the debugging of the camera is realized by adjusting the gain.
Fig. 1 is a flowchart illustrating a camera debugging method according to an exemplary embodiment, where the method illustrated in fig. 1 includes:
in step 101, when gain information and adaptive noise reduction parameters used in a first image processing mode are set for a first camera that has been debugged, a target signal-to-noise ratio corresponding to a gain in the gain information is determined according to a correspondence between the gain used in the first image processing mode and the signal-to-noise ratio set for the first camera.
There are various image processing modes, such as an idcg (intra Dual Conversion gain) mode, a 4sum mode, and a 4sum _ LN2 mode, and the image quality requirements for different image processing modes are different, and the required noise reduction strength is different. The first camera may be provided with one or more image processing modes, and the gain information and the adapted noise reduction parameters used in different image processing modes are set for the first camera. The first image processing mode may be any one of the above-described examples or other modes. For the electronic equipment after leaving the factory, when the first camera shoots by using the first image processing mode, the gain information used in the first image processing mode and the adaptive noise reduction parameter which are set for the first camera are used for image processing.
For an original image shot by a camera, namely an original image signal, amplification is performed by using an analog gain, then the amplified analog signal is converted into a digital signal by using an ADC, and the digital signal needs to be amplified by using the digital gain in some scenes. Based on this, the gain information in this step may include analog gain information, or the gain information may include analog gain information and digital gain information. For any one of the analog gain information and the digital gain information, only a single gain may be included, or one gain section, that is, both end points of one gain section may be included.
After the first camera is debugged, a plurality of groups of gain information and adaptive noise reduction parameters which are set for the first camera and used in the first image processing mode are obtained. In case the gain information comprises only a single gain, an image satisfying the quality requirement may be obtained using the single gain and the adapted noise reduction parameters. In case the gain information comprises one gain interval, i.e. in case the gain information comprises two end points of one gain interval, an image meeting the quality requirement may be obtained using the gain and the adapted noise reduction parameters located within the gain interval.
The noise reduction parameters are used to reduce noise in the image. There are various noise reduction parameters, such as abf, gic, anr, tf, hnr, lenr, and so on.
The signal-to-noise ratio (SNR) is the ratio of signal to noise in an electronic device or system, and is used to measure the noise level of an image.
In one embodiment, a curve may be plotted for each first camera using each image processing mode, each curve having signal-to-noise ratio as the abscissa and gain as the ordinate. One curve drawn for the first camera using the first image processing mode is referred to as a first curve.
The target signal-to-noise ratio corresponding to the gain in the gain information is determined according to the corresponding relationship between the gain and the signal-to-noise ratio, which is set for the first camera and used in the first image processing mode, and the method can be realized by the following steps: after a first curve drawn for a first camera using a first image processing mode is acquired, a target signal-to-noise ratio on the first curve corresponding to a gain in the gain information is determined.
When the gain information includes only a single gain, a target signal-to-noise ratio on the first curve corresponding to the single gain is determined. When the gain information comprises two gains, determining a target signal-to-noise ratio corresponding to each gain on the first curve, and obtaining two target signal-to-noise ratios.
In one embodiment, the first curve may be obtained by:
firstly, acquiring original images shot by a first camera using a first image processing mode under different light sources, wherein the brightness of the different light sources is different; secondly, determining the signal-to-noise ratio of each original image shot by using the first camera; thirdly, determining multiple groups of gains and signal-to-noise ratios according to the brightness of multiple groups of light sources and the signal-to-noise ratio of the original image shot by the first camera under the light sources; and finally, drawing a first curve according to the multiple groups of gains and signal-to-noise ratios determined aiming at the first camera.
The brightness of the light source reflects the magnitude of the gain, the brightness of the light source is positively correlated with the gain, and the gain can be determined according to the brightness of the light source.
After the driving information of the first camera is set, only one curve can be drawn for the first camera using one image processing mode.
The signal-to-noise ratio of each original image can be determined using methods known in the art.
In step 102, a target gain corresponding to a target signal-to-noise ratio is determined according to a corresponding relationship between a gain used in a second image processing mode and the signal-to-noise ratio, which is set for a second camera to be debugged.
The second camera may be provided with one or more image processing modes. The second image processing mode is the same as the first image processing mode, or the second image processing mode is different from the first image processing mode.
When the number of target signal-to-noise ratios is one, the number of target gains is one. When the number of target signal-to-noise ratios is two, the number of target gains is two.
In one embodiment, a curve may be plotted for each second camera using each image processing mode, each curve having signal-to-noise ratio as the abscissa and gain as the ordinate. One curve drawn for the second camera using the second image processing mode is referred to as a second curve.
The target gain corresponding to the target signal-to-noise ratio is determined according to the corresponding relation between the gain used in the second image processing mode and the signal-to-noise ratio, which is set for the second camera to be debugged, and the method can be realized by the following steps: after a second curve drawn for a second camera using a second image processing mode is acquired, a target gain corresponding to a target signal-to-noise ratio on the second curve is determined.
In one embodiment, the second curve may be obtained by:
firstly, acquiring original images shot by a second camera using a second image processing mode under different light sources, wherein the brightness of the different light sources is different; secondly, determining the signal-to-noise ratio of each original image shot by using a second camera; thirdly, determining multiple groups of gains and signal-to-noise ratios according to the brightness of multiple groups of light sources and the signal-to-noise ratio of an original image shot by a second camera under the light sources; and finally, drawing a second curve according to the multiple groups of gains and signal-to-noise ratios determined aiming at the second camera.
The brightness of the light source reflects the magnitude of the gain, the brightness of the light source is positively correlated with the gain, and the gain can be determined according to the brightness of the light source.
After the driving information of the second camera is set, only one curve can be drawn for the second camera using one image processing mode.
In step 103, a usage relationship of the target gain used in the second image processing mode and the noise reduction parameter for the second camera is constructed.
And the use relation used under different image processing modes is established for the second camera, so that the second camera can obtain a better shooting effect under different image processing modes.
In one embodiment, gain information and adaptive noise reduction parameters for use in the first image processing mode are set for the first camera that has been debugged, the gain information including a gain interval, each end point of the gain interval being used to determine a target gain, and two target gains being used to determine a target gain interval. Each target gain may be taken as an end point of the target gain interval.
The construction of the usage relationship between the target gain used in the second image processing mode and the noise reduction parameter for the second camera in the previous embodiment can be implemented by: and constructing a use relation between the target gain interval used in the second image processing mode and the noise reduction parameter for the second camera.
In one embodiment, multiple noise reduction parameters are set for the first image processing mode, each noise reduction parameter is provided with N gain sections, N is a positive integer greater than or equal to two, the N gain sections are sorted according to a preset rule, an adaptive noise reduction parameter is set for each gain section in the N gain sections, and the gain sections with the same sorting order are the same for different types of noise reduction parameters.
The N gain intervals may be ordered in the order of the gains from small to large, or the N gain intervals may be ordered in the order of the gains from large to small.
A larger gain results in a larger noise and a stronger noise reduction strength. Using a higher noise reduction intensity may reduce noise in the image but may reduce the sharpness of the image. Adaptive noise reduction parameters may be set for each gain interval based on the above principles and image quality requirements, etc.
A plurality of noise reduction parameters are set for the first image processing mode. After the target gain interval is determined by using the method in the previous embodiment, when the sequence of the gain information used in the first image processing mode set for the first camera is M, and M is a positive integer less than or equal to N, for another noise reduction parameter included in the multiple noise reduction parameters, a target noise reduction parameter adapted to the gain interval sequenced as M is determined, and for another noise reduction parameter used in the second image processing mode of the second camera, a use relationship between the target gain interval and the target noise reduction parameter is constructed.
For example, two noise reduction parameters abf and gic are set for the first image processing mode, the first camera in step 101 sets the gain information and the adapted noise reduction parameters used in the first image processing mode, and if the noise reduction parameters in step 101 belong to abf noise reduction parameters, the other noise reduction parameter is gic.
By using the method in the embodiment, the gains used by other types of noise reduction parameters can be quickly determined, and the construction of the use relation of the other types of noise reduction parameters can be quickly completed.
By the following example, a camera debugging method provided by the embodiment of the present disclosure is described by way of example.
The electronic equipment is provided with four cameras, wherein the first camera comprises a GN2 type photosensitive chip, the second camera comprises an OV48C type photosensitive chip, the third camera comprises an IMX586 type photosensitive chip, and the fourth camera comprises an IMX350 type photosensitive chip.
FIG. 2 is a graph illustrating a graph according to an exemplary embodiment. The curves in fig. 2 have signal-to-noise ratio as abscissa and gain as ordinate.
GN2_ IDCG represents the first camera using IDCG mode. The GN2 type photosensitive chip in the first camera performs image processing using the gain and noise reduction parameters set for the IDCG mode. The IDCG mode may be used as a default mode for the first camera.
GN2 — 4sum represents the first camera using the 4sum mode. The GN2 type photosensitive chip in the first camera performs image processing using the gain and noise reduction parameters set for the 4sum mode. The 4sum mode may be used as the professional mode for the first camera.
GN2_4sum _ LN2 represents the first camera using GN2_4sum _ LN2 mode. The GN2 type photosensitive chip in the first camera performs image processing using the gain and noise reduction parameters set for the GN2_4sum _ LN2 mode. The 4sum _ LN2 mode is another mode used by the first camera.
OV48C — 4sum represents a second camera using the 4sum mode. The OV48C type photo sensor chip in the second camera performs image processing using the gain and noise reduction parameters set for the 4sum mode. The 4sum mode may be used as a default mode for the second camera.
IMX586 represents a third camera using 4sum mode. The IMX586 type photosensitive chip in the third camera performs image processing using the gain and noise reduction parameters set for the 4sum mode. The 4sum mode may be used as a default mode for the third camera.
IMX350 represents a fourth camera using 4sum mode. The IMX350 type photosensitive chip in the fourth camera performs image processing using the gain and noise reduction parameters set for the 4sum mode. The 4sum mode may be used as the default mode for the fourth camera.
Fig. 2 shows six curves, each with signal-to-noise ratio as abscissa and gain as ordinate, with the accuracy of the abscissa being 0.1. Table 1 shows the signal-to-noise ratio defined on the curve versus the gain.
Only a portion of the data is shown in table 1.
In order to improve the data dividing precision, the abscissa of the midpoint of the positions of the two adjacent abscissas can be determined according to the two adjacent abscissas on the abscissa, the two ordinate corresponding to the two adjacent abscissas on the curve can be determined, the ordinate of the midpoint of the positions of the two adjacent ordinates can be determined, and the corresponding relation between the determined abscissa and the ordinate, namely the corresponding relation between the signal-to-noise ratio and the gain, can be set.
E.g. adjacent toTwo abscissas x1And x2The abscissa of the midpoint of the positions of two adjacent abscissas is
Two adjacent ordinate is y1And y2The ordinate of the midpoint of the positions of two adjacent ordinates is
The corresponding relation between the signal-to-noise ratio and the gain defined on the curve and the corresponding relation between the signal-to-noise ratio and the gain determined by the method are combined, so that the dividing precision of the signal-to-noise ratio and the gain is improved, and the accuracy of a result obtained by using the curve is finally improved.
In this example, the second camera using the 4sum mode is a camera that has already been debugged, and the first camera is an unmounted camera.
Fig. 3 is a diagram illustrating image processing code used by a second camera in different modes according to an example embodiment. In the codes shown in fig. 3, the left-side code is code written for the second camera using the 4sum mode, with respect to the noise reduction parameters anr.
A curve is drawn for the second camera using the 4sum mode, and for one gain in the left code, the signal-to-noise ratio corresponding to the gain (hereinafter referred to as the target signal-to-noise ratio) can be determined according to the corresponding relationship between the signal-to-noise ratio and the gain defined on the curve and the corresponding relationship between the signal-to-noise ratio and the gain determined by the method.
A curve is drawn for the first camera using the IDCG mode, and a target gain corresponding to a target signal-to-noise ratio can be determined according to a corresponding relationship between the signal-to-noise ratio and the gain defined on the curve and a corresponding relationship between the signal-to-noise ratio and the gain determined by the above method, and the gain in the left code is replaced by the target gain.
And if the gain in the left code exists in the combined corresponding relation, determining the signal-to-noise ratio corresponding to the gain directly according to the corresponding relation. If the gain in the left code is not present in the correspondence used in combination, the subsequent processing can be performed using the gain that is present in the correspondence and closest to the gain. Other suitable methods are also possible, and this example is not intended to be limiting.
The replacement of each gain in the left-side code is completed by using the method, and meanwhile, the minimum gain is limited to be 1, so that a right-side code is obtained, and the right-side code is an image processing code used by the second camera in the IDCG mode.
And debugging the second camera by using a camera debugging method in the related technology, wherein the adjusting time is three months. Shooting is carried out by using the debugged first camera, and an image shown in fig. 4 is obtained.
The camera debugging method provided by the embodiment is used for debugging the second camera, the camera debugging can be completed in a short time, and the debugging time is greatly saved. Shooting is carried out by using the debugged first camera, and an image shown in fig. 5 is obtained.
In comparison with fig. 4, fig. 5 is slightly poor in definition but slightly better in noise, and the overall effect of the two images is not much different, and fig. 5 can basically reach the state of encapsulation.
The debugging method provided by the related technology is used for debugging the camera, the probability of reaching the shipment standard is only 30%, and the probability of reaching the shipment standard is up to 70% by debugging the camera by using the debugging method provided by the embodiment. As can be seen from comparison, the debugging method provided by the embodiment has higher accuracy.
The embodiment of the disclosure provides a novel camera debugging method, which includes a debugged first camera and a second camera which is not debugged, wherein under the condition that gain information used in a first image processing mode and adaptive noise reduction parameters are set for the debugged first camera, a target signal-to-noise ratio corresponding to a gain in the gain information is determined according to a corresponding relation between the gain used in the first image processing mode and the signal-to-noise ratio set for the first camera, a target gain corresponding to the target signal-to-noise ratio is determined according to a corresponding relation between the gain used in the second image processing mode and the signal-to-noise ratio set for the second camera to be debugged, and a use relation between the target gain used in the second image processing mode and the noise reduction parameters for the second camera is constructed. Compared with the method for adjusting the noise reduction parameters in the prior art, the method provided by the embodiment of the disclosure has the advantages of simple operation, high speed, high accuracy of the debugging result and the like.
While, for purposes of simplicity of explanation, the foregoing method embodiments have been presented as a series of acts or combinations, it will be appreciated by those of ordinary skill in the art that the present disclosure is not limited by the order of acts, as some steps may, in accordance with the present disclosure, occur in other orders and/or concurrently.
Further, those skilled in the art will appreciate that the embodiments described in the specification are exemplary embodiments and that acts and modules are not necessarily required for the disclosure.
Corresponding to the embodiment of the application function implementation method, the disclosure also provides an embodiment of an application function implementation device and corresponding electronic equipment.
Fig. 6 is a block diagram illustrating a camera commissioning apparatus according to an exemplary embodiment, the apparatus comprising: a target signal-to-noise ratio determining module 21, a gain determining module 22 and a use relation constructing module 23; wherein,
the target signal-to-noise ratio determining module 21 is configured to, when the gain information used in the first image processing mode and the adaptive noise reduction parameter are set for the debugged first camera, determine a target signal-to-noise ratio corresponding to the gain in the gain information according to a corresponding relationship between the gain used in the first image processing mode and the signal-to-noise ratio set for the first camera;
the gain determination module 22 is configured to determine a target gain corresponding to the target signal-to-noise ratio according to a corresponding relationship between a gain used in a second image processing mode and the signal-to-noise ratio, which is set for a second camera to be debugged;
the usage relation constructing module 23 is configured to construct a usage relation of the target gain used in the second image processing mode and the noise reduction parameter for the second camera.
In an optional embodiment, on the basis of the camera debugging apparatus shown in fig. 6, the target snr determining module 21 is configured to determine the target snr corresponding to the gain in the gain information on a first curve, after acquiring the first curve drawn for the first camera using the first image processing mode, where the first curve has an snr as an abscissa and a gain as an ordinate.
In an optional embodiment, the apparatus may further include: the system comprises a first image acquisition module, a first information determination module and a first curve drawing module; wherein,
the first image acquisition module is configured to acquire original images shot by the first camera using the first image processing mode under different light sources, the brightness of different light sources being different;
the first image acquisition module is configured to determine a signal-to-noise ratio of each original image captured using the first camera;
the first information determination module is configured to determine multiple groups of gains and signal-to-noise ratios according to the brightness of multiple groups of light sources and the signal-to-noise ratio of an original image shot by using the first camera under the light sources;
the first curve drawing module is configured to draw the first curve according to the multiple groups of gains and signal-to-noise ratios determined for the first camera.
In an alternative embodiment, the gain determining module 22 may be configured to determine the target gain corresponding to the target signal-to-noise ratio on the second curve after acquiring a second curve drawn for the second camera using the second image processing mode, the second curve having a signal-to-noise ratio as an abscissa and a gain as an ordinate.
In an optional embodiment, the apparatus may further comprise: the system comprises a second image acquisition module, a second information determination module and a second curve drawing module; wherein,
the second image acquisition module is configured to acquire original images shot by the second camera using the second image processing mode under different light sources, and the brightness of different light sources is different;
the second image acquisition module is configured to determine the signal-to-noise ratio of each original image shot by using the second camera;
the second information determination module is configured to determine multiple groups of gains and signal-to-noise ratios according to the brightness of multiple groups of light sources and the signal-to-noise ratio of an original image shot by using the second camera under the light sources;
the second curve drawing module is configured to draw the second curve according to the plurality of groups of gains and signal-to-noise ratios determined for the second camera.
In an alternative embodiment, on the basis of the camera debugging apparatus shown in fig. 6, the gain information includes a gain interval, each end point of the gain interval is used to determine one target gain, and two target gains are used to determine one target gain interval;
the usage relation constructing module 23 may be configured to construct a usage relation of the target gain section used in the second image processing mode and the noise reduction parameter for the second camera.
In an optional embodiment, multiple noise reduction parameters are set for the first image processing mode, each noise reduction parameter is provided with N gain intervals, N is a positive integer greater than or equal to two, the N gain intervals are sorted according to a preset rule, an adaptive noise reduction parameter is set for each of the N gain intervals, and the gain intervals with the same sorting order are the same for different types of noise reduction parameters; the apparatus may further include: the system comprises a parameter determining module and a relation building module; wherein,
the parameter determination module is configured to determine, after the target gain interval is determined, a target noise reduction parameter adapted to the gain interval ordered to M for another noise reduction parameter included in the plurality of noise reduction parameters under the condition that the ordering of the gain interval is M, where M is a positive integer less than or equal to N;
the relationship building module is configured to build a use relationship between the target gain interval and the target noise reduction parameter for the other noise reduction parameter used by the second camera in the second image processing mode.
Fig. 7 is a schematic diagram illustrating a structure of an electronic device 1600 according to an example embodiment. For example, apparatus 1600 may be a user device, which may be embodied as a mobile phone, a computer, a digital broadcast electronic device, a messaging device, a gaming console, a tablet device, a medical device, a fitness device, a personal digital assistant, a wearable device such as a smart watch, smart glasses, smart band, smart running shoe, and the like.
Referring to fig. 7, apparatus 1600 may include one or more of the following components: processing component 1602, memory 1604, power component 1606, multimedia component 1608, audio component 1610, input/output (I/O) interface 1612, sensor component 1614, and communications component 1616.
The processing component 1602 generally controls overall operation of the device 1600, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 1602 may include one or more processors 1620 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 1602 can include one or more modules that facilitate interaction between the processing component 1602 and other components. For example, the processing component 1602 can include a multimedia module to facilitate interaction between the multimedia component 1608 and the processing component 1602.
The memory 1604 is configured to store various types of data to support operation at the device 1600. Examples of such data include instructions for any application or method operating on device 1600, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 1604 may be implemented by any type or combination of volatile or non-volatile storage devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
A power supply component 1606 provides power to the various components of the device 1600. The power components 1606 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the device 1600.
The multimedia component 1608 includes a screen that provides an output interface between the device 1600 and a user as described above. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of the touch or slide action but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 1608 comprises a front-facing camera and/or a rear-facing camera. The front-facing camera and/or the back-facing camera may receive external multimedia data when device 1600 is in an operational mode, such as an adjustment mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 1610 is configured to output and/or input an audio signal. For example, audio component 1610 includes a Microphone (MIC) configured to receive external audio signals when apparatus 1600 is in an operational mode, such as a call mode, recording mode, and voice recognition mode. The received audio signal may further be stored in the memory 1604 or transmitted via the communications component 1616. In some embodiments, audio component 1610 further includes a speaker for outputting audio signals.
The I/O interface 1612 provides an interface between the processing component 1602 and peripheral interface modules, such as keyboards, click wheels, buttons, and the like. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The communications component 1616 is configured to facilitate communications between the apparatus 1600 and other devices in a wired or wireless manner. The device 1600 may access a wireless network based on a communication standard, such as WiFi, 2G, or 3G, or a combination thereof. In an exemplary embodiment, the communication component 1616 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the aforementioned communication component 1616 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 1600 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, there is also provided a non-transitory computer-readable storage medium, such as the memory 1604 including instructions that, when executed by the processor 1620 of the apparatus 1600, enable the apparatus 1600 to perform a camera commissioning method, the method comprising: under the condition that gain information used in a first image processing mode and adaptive noise reduction parameters are set for a debugged first camera, determining a target signal-to-noise ratio corresponding to a gain in the gain information according to a corresponding relation between the gain used in the first image processing mode and the signal-to-noise ratio set for the first camera; determining a target gain corresponding to the target signal-to-noise ratio according to a corresponding relation between a gain used in a second image processing mode and the signal-to-noise ratio, which is set for a second camera to be debugged; constructing a usage relationship of the target gain used in the second image processing mode and the noise reduction parameter for the second camera.
The non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (16)
1. A camera debugging method is characterized by comprising the following steps:
under the condition that gain information used in a first image processing mode and adaptive noise reduction parameters are set for a debugged first camera, determining a target signal-to-noise ratio corresponding to a gain in the gain information according to a corresponding relation between the gain used in the first image processing mode and the signal-to-noise ratio set for the first camera;
determining a target gain corresponding to the target signal-to-noise ratio according to a corresponding relation between a gain used in a second image processing mode and the signal-to-noise ratio, which is set for a second camera to be debugged;
constructing a usage relationship of the target gain used in the second image processing mode and the noise reduction parameter for the second camera.
2. The method according to claim 1, wherein the determining a target signal-to-noise ratio corresponding to the gain in the gain information according to the corresponding relationship between the gain and the signal-to-noise ratio used in the first image processing mode set for the first camera comprises:
after a first curve drawn for the first camera using the first image processing mode is acquired, the first curve having a signal-to-noise ratio as an abscissa and a gain as an ordinate, the target signal-to-noise ratio corresponding to a gain in the gain information on the first curve is determined.
3. The method of claim 2, further comprising:
acquiring original images shot by the first camera using the first image processing mode under different light sources, wherein the brightness of different light sources is different;
determining a signal-to-noise ratio of each original image captured using the first camera;
determining multiple groups of gains and signal-to-noise ratios according to the brightness of multiple groups of light sources and the signal-to-noise ratio of an original image shot by the first camera under the light sources;
and drawing the first curve according to the multiple groups of gains and signal-to-noise ratios determined aiming at the first camera.
4. The method according to claim 2, wherein the determining a target gain corresponding to the target signal-to-noise ratio according to a corresponding relationship between a gain used in a second image processing mode and a signal-to-noise ratio set for a second camera to be debugged comprises:
after a second curve drawn by the second camera using the second image processing mode is acquired, and the second curve takes a signal-to-noise ratio as an abscissa and a gain as an ordinate, the target gain corresponding to the target signal-to-noise ratio on the second curve is determined.
5. The method of claim 4, further comprising:
acquiring original images shot by the second camera using the second image processing mode under different light sources, wherein the brightness of different light sources is different;
determining a signal-to-noise ratio of each original image captured using the second camera;
determining a plurality of groups of gains and signal-to-noise ratios according to the brightness of a plurality of groups of light sources and the signal-to-noise ratio of an original image shot by the second camera under the light sources;
and drawing the second curve according to the multiple groups of gains and signal-to-noise ratios determined aiming at the second camera.
6. The method of claim 1, wherein the gain information comprises a gain interval, each end of the gain interval is used to determine one of the target gains, and two target gains are used to determine one target gain interval; the constructing a usage relationship of the target gain used in the second image processing mode for the second camera and the noise reduction parameter includes:
and constructing a use relation between the target gain interval used in the second image processing mode and the noise reduction parameter for the second camera.
7. The method according to claim 6, wherein a plurality of noise reduction parameters are set for the first image processing mode, each noise reduction parameter has N gain sections, N is a positive integer greater than or equal to two, the N gain sections are ordered according to a preset rule, an adaptive noise reduction parameter is set for each of the N gain sections, and the gain sections with the same ordering are the same for different kinds of noise reduction parameters; the method further comprises the following steps:
after the target gain interval is determined, under the condition that the sequence of the gain interval is M and M is a positive integer less than or equal to N, determining a target noise reduction parameter matched with the gain interval sequenced into M aiming at another noise reduction parameter included by the multiple noise reduction parameters;
and aiming at the other noise reduction parameter used by the second camera in the second image processing mode, constructing a use relation between the target gain interval and the target noise reduction parameter.
8. A camera commissioning device, said device comprising:
the target signal-to-noise ratio determining module is configured to determine a target signal-to-noise ratio corresponding to a gain in the gain information according to a corresponding relation between the gain used in the first image processing mode and the signal-to-noise ratio set for the first camera under the condition that the gain information used in the first image processing mode and the adaptive noise reduction parameter are set for the debugged first camera;
the gain determination module is configured to determine a target gain corresponding to the target signal-to-noise ratio according to a corresponding relation between a gain used in a second image processing mode and the signal-to-noise ratio, which is set for a second camera to be debugged;
a usage relationship construction module configured to construct a usage relationship of the target gain used in the second image processing mode and the noise reduction parameter for the second camera.
9. The apparatus of claim 8, wherein:
the target signal-to-noise ratio determination module is configured to determine the target signal-to-noise ratio corresponding to the gain in the gain information on a first curve after acquiring the first curve drawn for the first camera using the first image processing mode, the first curve having a signal-to-noise ratio as an abscissa and a gain as an ordinate.
10. The apparatus of claim 9, further comprising:
a first image acquisition module configured to acquire original images photographed by the first camera using the first image processing mode under different light sources, the brightness of the different light sources being different;
a first image acquisition module configured to determine a signal-to-noise ratio of each original image captured using the first camera;
a first information determination module configured to determine a plurality of sets of gains and signal-to-noise ratios according to luminances of a plurality of sets of light sources and signal-to-noise ratios of original images photographed under the light sources using the first camera;
a first curve plotting module configured to plot the first curve according to the plurality of sets of gains and signal-to-noise ratios determined for the first camera.
11. The apparatus of claim 9, wherein:
the gain determination module is configured to determine the target gain corresponding to the target signal-to-noise ratio on a second curve, which is plotted for the second camera using the second image processing mode and has a signal-to-noise ratio as an abscissa and a gain as an ordinate, after acquiring the second curve.
12. The apparatus of claim 11, further comprising:
a second image acquisition module configured to acquire original images photographed by the second camera using the second image processing mode under different light sources, the brightness of the different light sources being different;
a second image acquisition module configured to determine a signal-to-noise ratio of each original image captured using the second camera;
a second information determination module configured to determine a plurality of sets of gains and signal-to-noise ratios according to luminances of a plurality of sets of light sources and signal-to-noise ratios of original images photographed under the light sources using the second camera;
a second curve plotting module configured to plot the second curve according to the plurality of sets of gains and signal-to-noise ratios determined for the second camera.
13. The apparatus of claim 8, wherein the gain information comprises a gain interval, each end of the gain interval is used to determine one of the target gains, and two target gains are used to determine one target gain interval;
the usage relation construction module is configured to construct a usage relation between the target gain section used in the second image processing mode and the noise reduction parameter for the second camera.
14. The apparatus according to claim 13, wherein a plurality of noise reduction parameters are set for the first image processing mode, each noise reduction parameter has N gain sections, N is a positive integer greater than or equal to two, the N gain sections are ordered according to a preset rule, an adaptive noise reduction parameter is set for each of the N gain sections, and the gain sections with the same ordering are the same for different kinds of noise reduction parameters; the device further comprises:
a parameter determining module configured to, after the target gain interval is determined, determine, for another noise reduction parameter included in the plurality of noise reduction parameters, a target noise reduction parameter adapted to the gain interval ranked as M when the ranking of the gain interval is M, where M is a positive integer less than or equal to N;
a relation construction module configured to construct a usage relation between the target gain interval and the target noise reduction parameter for the other noise reduction parameter used by the second camera in the second image processing mode.
15. A non-transitory computer readable storage medium having stored thereon a computer program, characterized in that the program, when executed by a processor, implements the method of any one of claims 1-7.
16. An electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
under the condition that gain information used in a first image processing mode and adaptive noise reduction parameters are set for a debugged first camera, determining a target signal-to-noise ratio corresponding to a gain in the gain information according to a corresponding relation between the gain used in the first image processing mode and the signal-to-noise ratio set for the first camera;
determining a target gain corresponding to the target signal-to-noise ratio according to a corresponding relation between a gain used in a second image processing mode and the signal-to-noise ratio, which is set for a second camera to be debugged;
constructing a usage relationship of the target gain used in the second image processing mode and the noise reduction parameter for the second camera.
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