CN118678045A

CN118678045A - Shooting quality detection method, device, equipment and storage medium

Info

Publication number: CN118678045A
Application number: CN202310271890.9A
Authority: CN
Inventors: 李悦; 李龙飞; 陈程
Original assignee: Beijing Xiaomi Mobile Software Co Ltd
Current assignee: Beijing Xiaomi Mobile Software Co Ltd
Priority date: 2023-03-16
Filing date: 2023-03-16
Publication date: 2024-09-20

Abstract

The disclosure relates to a shooting quality detection method, a device, equipment and a storage medium, wherein the method comprises the following steps: acquiring a shooting image shot by mobile equipment and displaying the shooting image on a screen; acquiring a paper image corresponding to the photographed image printed based on a pre-selected first paper; and determining the shooting quality of the mobile device based on the paper image and the shooting image displayed by the screen. The method and the device can reflect the shooting quality of the mobile equipment under the actual condition more accurately, improve the reliability of shooting quality detection, and are favorable for improving the shooting performance of the mobile equipment based on the follow-up shooting quality detection result of the mobile equipment, so that the competitiveness of the mobile equipment can be improved.

Description

Shooting quality detection method, device, equipment and storage medium

Technical Field

The disclosure relates to the technical field of image processing, and in particular relates to a shooting quality detection method, a shooting quality detection device, shooting quality detection equipment and a storage medium.

Background

With the popularization of mobile devices such as smart phones, the functions of the mobile devices are becoming more and more abundant. Among them, image capturing based on a camera has become one of the indispensable functions of mobile devices.

In the related art, when detecting the image capturing quality of a mobile device, the captured image is generally displayed on the basis of a screen, and then the image quality displayed on the screen is detected.

However, the details of the image displayed by the above scheme in the related art are limited, so that the shooting quality of the mobile device in the actual situation cannot be accurately reflected, the detection reliability is low, and further the improvement of the shooting performance of the mobile device by the research end can be affected.

Disclosure of Invention

In order to overcome the problems in the related art, embodiments of the present disclosure provide a method, an apparatus, a device, and a storage medium for detecting photographing quality, which are used to solve the drawbacks in the related art.

According to a first aspect of embodiments of the present disclosure, there is provided a photographing quality detection method, the method including:

Responsive to acquiring a captured image based on the mobile device, and displaying the captured image based on the screen;

Acquiring a paper image corresponding to the photographed image printed based on a pre-selected first paper;

And determining the shooting quality of the mobile device based on the paper image and the shooting image displayed by the screen.

In some embodiments, the acquiring a paper image corresponding to the captured image printed based on the pre-selected first paper sheet includes:

Determining second color data corresponding to the first color data of the photographed image based on a color mapping relationship between the mobile device and the printing device;

and acquiring a paper image obtained by printing the second color data on the first paper by the printing equipment.

In some embodiments, the method further comprises:

And in response to the paper image meeting a preset quality condition, performing the operation of determining the shooting quality of the mobile device based on the paper image and the shooting image displayed by the screen.

In some embodiments, the method further comprises:

Acquiring a comparison result of the photographed image and the paper image based on preset observation conditions, wherein the observation conditions comprise at least one of the type of a light source of ambient light, illuminance, a color rendering index and illumination uniformity;

And responding to the comparison result to meet a preset result condition, and determining that the paper image meets the preset quality condition.

In some embodiments, the comparison result comprises an objective comparison result of the captured image and the paper image, the objective comparison result comprising a difference in color difference;

the comparison result meets a preset result condition and comprises the following steps:

the objective comparison result reflects that the difference between the photographed image and the paper image meets the set difference requirement.

In some embodiments, the comparison result comprises a subjective comparison result of the captured image and the paper image, the subjective comparison result comprising a comparison result of at least one of brightness contrast, color saturation, and white balance;

the subjective comparison result reflects that subjective feelings of the photographed image and the paper image are consistent.

In some embodiments, the method further comprises:

Adjusting a color mapping relationship between the mobile device and the printing device in response to the paper image not meeting the preset quality condition;

And acquiring a paper image corresponding to the photographed image reprinted by the printing equipment based on the adjusted color mapping relation and the preselected second paper.

In some embodiments, the determining the quality of the photographing of the mobile device based on the paper image and the photographed image of the screen display includes:

determining a first image quality of the captured image and a second image quality of the paper image based on a set image quality evaluation index, the set image quality evaluation index including at least one of:

color difference, exposure, color accuracy, detail richness, noise quantity, blurring effect and artifact control degree;

a photographic quality of the mobile device is determined based on the first image quality and the second image quality.

In some embodiments, the method further comprises:

responding to the fact that the shooting quality of the mobile equipment does not meet the set shooting quality requirement, and adjusting shooting parameters of the mobile equipment based on a preset parameter debugging algorithm;

and re-shooting by using the adjusted shooting parameters based on the mobile equipment.

According to a second aspect of embodiments of the present disclosure, there is provided a photographing quality detecting apparatus, the apparatus including:

A photographed image display module for responding to a photographed image acquired based on a mobile device and displaying the photographed image based on a screen;

a paper image acquisition module for acquiring a paper image corresponding to the photographed image printed based on a first paper selected in advance;

and the shooting quality detection module is used for determining the shooting quality of the mobile equipment based on the paper image and the shooting image displayed on the screen.

In some embodiments, the paper image acquisition module comprises:

A color data determining unit, configured to determine second color data corresponding to the first color data of the captured image based on a color mapping relationship between the mobile device and a printing device;

and the paper image acquisition unit is used for acquiring the paper image obtained by printing the second color data on the first paper by the printing equipment.

In some embodiments, the shooting quality detection module is further configured to perform the operation of determining the shooting quality of the mobile device based on the paper image and the shooting image displayed on the screen in response to the paper image satisfying a preset quality condition.

In some embodiments, the apparatus further comprises a paper image determination module;

the paper image judging module comprises:

A comparison result obtaining unit, configured to obtain a comparison result of the captured image and the paper image based on a preset observation condition, where the observation condition includes at least one of a light source type, illuminance, color rendering index, and illumination uniformity of ambient light;

and the paper image judging unit is used for responding to the comparison result to meet a preset result condition and determining that the paper image meets the preset quality condition.

In some embodiments, the apparatus further comprises;

The mapping relation adjusting module is used for adjusting the color mapping relation between the mobile equipment and the printing equipment in response to the fact that the paper image does not meet the preset quality condition;

The paper image acquisition module is also used for acquiring the paper image corresponding to the photographed image reprinted by the printing equipment based on the adjusted color mapping relation and the pre-selected second paper.

In some embodiments, the shooting quality detection module includes:

An image quality determination unit configured to determine a first image quality of the captured image and a second image quality of the paper image based on a set image quality evaluation index including at least one of:

and a shooting quality determining unit configured to determine a shooting quality of the mobile device based on the first image quality and the second image quality.

In some embodiments, the apparatus further comprises:

The parameter adjustment module is used for adjusting shooting parameters of the mobile equipment based on a preset parameter debugging algorithm in response to the fact that the shooting quality of the mobile equipment is not in accordance with the set shooting quality requirement;

and the first image acquisition module is used for re-shooting by using the adjusted shooting parameters based on the mobile equipment.

According to a third aspect of embodiments of the present disclosure, there is provided an electronic device, the device comprising:

A processor and a memory for storing a computer program;

wherein the processor is configured to implement, when executing the computer program:

According to a fourth aspect of embodiments of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements:

The technical scheme provided by the embodiment of the disclosure can comprise the following beneficial effects:

The present disclosure determines a photographing quality of a mobile device by, in response to acquiring a photographed image based on the mobile device and displaying the photographed image based on a screen, and acquiring a paper image corresponding to the photographed image printed based on a pre-selected first paper, further based on the paper image and the photographed image displayed by the screen, since the paper image may reflect image details that more photographed images cannot reflect, therefore, the shooting quality of the mobile equipment is determined based on the paper image and the shooting image displayed by the screen, the shooting quality of the mobile equipment under the actual condition can be reflected more accurately, the reliability of shooting quality detection is improved, the follow-up detection result based on the shooting quality of the mobile equipment by an research end is facilitated, the shooting performance of the mobile equipment is improved, and therefore the competitiveness of the mobile equipment can be improved.

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

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.

Fig. 1 is a flowchart illustrating a photographing quality detection method according to an exemplary embodiment of the present disclosure;

FIG. 2 is a flowchart showing how to acquire a paper image corresponding to the captured image printed based on a pre-selected first paper, according to an exemplary embodiment of the present disclosure;

fig. 3 is a flowchart illustrating a photographing quality detection method according to still another exemplary embodiment of the present disclosure;

FIG. 4 is a flowchart illustrating how it is determined that the paper image meets the preset quality condition according to an exemplary embodiment of the present disclosure;

FIG. 5 is a flowchart showing how to determine a photographic quality of the mobile device based on the paper image and the photographic image displayed by the screen, according to an exemplary embodiment of the present disclosure;

Fig. 6 is a flowchart illustrating a photographing quality detection method according to another exemplary embodiment of the present disclosure;

Fig. 7 is a block diagram of a photographing quality detecting apparatus according to an exemplary embodiment of the present disclosure;

Fig. 8 is a block diagram illustrating yet another photographing quality detecting apparatus according to an exemplary embodiment of the present disclosure;

Fig. 9 is a block diagram of an electronic device, according to an exemplary embodiment of the present disclosure.

Detailed Description

Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.

Fig. 1 is a flowchart illustrating a photographing quality detection method according to an exemplary embodiment; the method of the present embodiment can be applied to an electronic device having a data processing function.

As shown in fig. 1, the method includes the following steps S101-S103:

in step S101, in response to acquiring a photographed image based on the mobile device, the photographed image is displayed based on the screen.

In this embodiment, when detecting the photographing quality of the mobile device, the electronic device may acquire a photographed image based on the mobile device and then display the photographed image based on the screen.

The captured image may be an image obtained by the mobile device capturing a sample captured object based on its own camera. The screen for displaying the captured image may be a screen of a mobile device or a screen of a device other than the mobile device, which is not limited in this embodiment.

In step S102, a paper image corresponding to the captured image printed based on the first paper selected in advance is acquired.

In this embodiment, the electronic device may acquire a paper image corresponding to the captured image printed based on a first paper selected in advance, where the size of the first paper is larger than the size of the screen of the mobile device.

It will be appreciated that since the size of the first paper is larger than the size of the screen of the mobile device, by printing the paper image corresponding to the captured image, more image details that the captured image cannot reflect can be reflected based on the paper image.

In some embodiments, the paper used to print the paper image corresponding to the captured image may be selected in advance based on at least one of the color gamut of the paper, the chromaticity of the paper, the PH, the gloss, the corrosion resistance, the oxidation resistance, the bleach content, the lignocellulose content, the calcium carbonate content, the pulp composition.

For example, in a home application scenario, a wide color gamut, paper white point and cell phone white point proximity, environmentally friendly materials, corrosion and oxidation resistant, and acid free paper may be selected.

In the application scenario of museums, etc., papers produced according to DIN 6738, ISO 9706, ISO 16245, ANSI Z39.48-1992, pH 7.5-9.5, calcium carbonate (CaCO 3) content less than 4%, no lignocellulose, no bleaching agent and pure cotton or alpha cellulose pulp component can be selected.

In step S103, a photographing quality of the mobile device is determined based on the paper image and the photographed image displayed on the screen.

In this embodiment, after the electronic device displays the photographed image based on the screen and acquires the paper image corresponding to the photographed image printed based on the pre-selected first paper, the photographing quality of the mobile device may be determined based on the paper image and the photographed image displayed on the screen.

In some embodiments, the image quality of the paper image and the image quality of the photographed image displayed by the screen may be detected, and further, the photographing quality of the mobile device may be determined according to the image quality of the paper image and the image quality of the photographed image displayed by the screen. For example, the higher the image quality of the paper image and the image quality of the captured image, the higher the captured quality of the mobile device may be determined. Conversely, the worse the image quality of the paper image and the image quality of the captured image, the worse the captured quality of the mobile device may be determined.

In other embodiments, the above manner of determining the shooting quality of the mobile device based on the paper image and the shooting image displayed on the screen may refer to the embodiment shown in fig. 5, which is not described in detail herein.

As can be seen from the foregoing description, in the method of this embodiment, in response to acquiring a shot image based on a mobile device, displaying the shot image based on a screen, and acquiring a paper image corresponding to the shot image printed based on a first paper selected in advance, further determining the shooting quality of the mobile device based on the paper image and the shot image displayed on the screen, since the paper image may reflect image details that cannot be reflected by more shot images, determining the shooting quality of the mobile device based on the paper image and the shot image displayed on the screen together, it may more accurately reflect the shooting quality of the mobile device in an actual situation, improve the reliability of shooting quality detection, and be beneficial to improving the shooting performance of the mobile device based on the shooting quality detection result of the mobile device at the later stage of research, so as to improve the competitiveness of the mobile device.

FIG. 2 is a flowchart showing how to acquire a paper image corresponding to the captured image printed based on a pre-selected first paper, according to an exemplary embodiment of the present disclosure; the present embodiment exemplifies how to acquire a paper image corresponding to the captured image printed based on the first paper selected in advance on the basis of the above-described embodiment. As shown in fig. 2, the acquiring of the paper image corresponding to the captured image printed based on the first paper selected in advance in the step S102 may include the following steps S201 to S202:

In step S201, second color data corresponding to the first color data of the captured image is determined based on the color mapping relationship between the mobile device and the printing device.

In this embodiment, when the electronic device obtains the paper image corresponding to the captured image printed based on the first paper selected in advance, the second color data corresponding to the first color data of the captured image may be determined based on the color mapping relationship between the mobile device and the printing device. Wherein the first color data of the captured image may include data characterizing color information of the captured image. Taking the photographed image as an RGB image as an example, the first color data of the photographed image may include values of RGB three channels of each pixel in the photographed image, and the like.

In some embodiments, the color mapping relationship between the mobile device and the printing device may include a color correspondence relationship between color data of a captured image captured by the mobile device and color data of a paper image printed by the printing device, such as a correspondence relationship between color patches between standard 24 color cards, and so on.

By setting the color mapping relation between the mobile device and the printing device, the color accuracy of the paper image corresponding to the image shot by the mobile device can be ensured.

In step S202, a paper image obtained by the printing apparatus printing on the first paper with the second color data is acquired.

In this embodiment, after determining the second color data corresponding to the first color data of the captured image, the electronic device may acquire the paper image obtained by the printing device by printing the second color data on the first paper.

For example, the electronic device may send a print control instruction to the printing device to cause the printing device to print the second color data on the first sheet in response to the instruction, so that printing of the paper image may be achieved.

As can be seen from the foregoing description, in this embodiment, by determining, based on the color mapping relationship between the mobile device and the printing device, the second color data corresponding to the first color data of the shot image, and obtaining the paper image obtained by printing, by the printing device, on the first paper with the second color data, the color accuracy of the printed paper image of the printing device can be improved, so as to accurately obtain the paper image corresponding to the shot image, further, determine the shot quality of the mobile device based on the paper image and the shot image displayed on the screen, so that reliability of detection of the shot quality can be improved, and it is beneficial to develop a subsequent shot quality detection result based on the mobile device to improve shooting performance of the mobile device.

Fig. 3 is a flowchart illustrating a photographing quality detection method according to still another exemplary embodiment of the present disclosure; the method of the present embodiment can be applied to an electronic device having a data processing function.

As shown in fig. 3, the method includes the following steps S301-S305:

In step S301, in response to acquiring a captured image based on the mobile device, the captured image is displayed based on the screen.

In step S302, the printing apparatus is controlled to print a paper image corresponding to the photographed image based on the color mapping relationship between the mobile apparatus and the printing apparatus, and the selected paper having a size larger than that of the screen.

In step S303, it is determined whether the paper image satisfies a preset quality condition: if yes, executing step S304; if not, step S305 is performed.

In step S304, a photographing quality of the mobile device is determined based on the paper image and the photographed image displayed on the screen.

In step S305, the color mapping relationship between the mobile device and the printing device is adjusted.

The relevant explanation and explanation of steps S301 to S302 and S305 can be referred to steps S101 to S103 in the embodiment shown in fig. 1, which are not described herein.

Specifically, when the electronic device displays the photographed image based on the screen, and controls the printing device to print the paper image corresponding to the photographed image based on the color mapping relationship between the mobile device and the printing device and the preselected first paper, it may be determined whether the paper image satisfies a preset quality condition.

On the basis, when the paper image meets the preset quality condition, the shooting quality of the mobile device can be determined based on the paper image and the shooting image displayed by the screen, so that the reliability of detecting the shooting quality of the mobile device can be ensured.

Conversely, when the paper image does not meet the preset quality condition, the color mapping relationship between the mobile device and the printing device may be adjusted to obtain an adjusted color mapping relationship, and then the printing device may be controlled to reprint the paper image corresponding to the photographed image based on the adjusted color mapping relationship and the second paper. The size and the material of the second paper can be the same as those of the first paper, namely, the second paper is selected according to the standard of selecting the first paper, so that the size of the second paper can be ensured to be larger than that of the screen of the mobile device.

In some embodiments, the above manner of determining whether the paper image meets the preset quality condition may be set based on actual service requirements, which is not limited in this embodiment.

In some embodiments, the above-mentioned manner of determining whether the paper image meets the preset quality condition may also be referred to as the embodiment shown in fig. 4, which is not described in detail herein.

As can be seen from the foregoing description, in this embodiment, when the paper image does not meet the preset quality condition, the color mapping relationship between the mobile device and the printing device is adjusted, so as to obtain the paper image corresponding to the captured image reprinted by the printing device based on the adjusted color mapping relationship and the selected second paper, so that the subsequent determination of the capturing quality of the mobile device by using the paper image meeting the preset quality condition and the captured image displayed on the screen can be ensured, the reliability of capturing quality detection can be improved, and the subsequent development of the capturing performance of the mobile device based on the capturing quality detection result of the mobile device can be further realized, thereby achieving the purpose of improving the competitiveness of the mobile device.

FIG. 4 is a flowchart illustrating how it is determined that the paper image meets the preset quality condition according to an exemplary embodiment of the present disclosure; the present embodiment is exemplified on the basis of the above embodiment by taking as an example how it is determined that the paper image satisfies the preset quality condition. As shown in fig. 4, the photographing quality detection method of the present embodiment may further include determining that the paper image satisfies the preset quality condition based on the following steps S401 to S402:

in step S401, a comparison result of the photographed image and the paper image is obtained based on a preset observation condition.

In this embodiment, when determining whether the paper image meets the preset quality condition, a comparison result between the captured image and the paper image may be obtained based on a preset observation condition.

Wherein the viewing conditions include at least one of a light source type, illuminance, color rendering index, and illumination uniformity of ambient light.

It should be noted that the preset observation conditions may be set based on actual service requirements, for example, set according to the following table, which is not limited in this embodiment. It can be appreciated that, through preset observation conditions, different research and development teams and/or standards for obtaining comparison results of the photographed image and the paper image under different research and development environments can be unified, so that reliability of judging whether the paper image meets the preset quality conditions can be improved.

List one

In some embodiments, the above-mentioned comparison result may include an objective comparison result of the photographed image and the paper image, such as a difference value of a color difference (i.e., Δe) between the photographed image and the paper image; and/or the above comparison result may include a subjective comparison result of the photographed image and the paper image, such as a comparison result of at least one of brightness contrast, color saturation and white balance, that is, whether the subjective feelings of the photographed image and the paper image are consistent may be judged by naked eyes of related personnel.

In step S402, in response to the comparison result satisfying a preset result condition, it is determined that the paper image satisfies the preset quality condition.

In this embodiment, after the comparison result of the captured image and the paper image is obtained, whether the comparison result meets a preset result condition may be detected, and when the comparison result meets the preset result condition, it may be determined that the paper image meets the preset quality condition.

For example, in the case where the above-described comparison result includes an objective comparison result of the captured image and the paper image, if the objective comparison result can reflect that the difference between the captured image and the paper image satisfies a set difference requirement, it may be determined that the comparison result satisfies a preset result condition if the difference between Δe of the captured image and Δe of the paper image is less than or equal to a set color difference threshold.

Note that, the detection method of Δe of the captured image and Δe of the paper image may be described in the related art, and this embodiment is not limited thereto.

For example, when calculating the difference between Δe of the captured image and Δe of the paper image in the present embodiment, a color temperature value corresponding to the capturing environment may be set based on a color temperature photometer, and then color conversion simulation may be performed to exclude screen interference; then in this embodiment, the Δe of the paper and the Δe of the screen may be measured respectively by related instruments (such as an i1 color corrector that may be used to accurately correct colors of a camera, a display, a projector, a scanner, a printer, etc.), and then a first difference value between the two values is calculated; and detecting the difference value between delta E of different color blocks in the photographed image and delta E of different color blocks in the paper image by the instrument in combination with the first difference value, so that the color difference between the photographed image and the paper image can be quantified, and verifying whether the paper image meets the preset quality condition from an objective level.

For another example, in the case where the above-mentioned comparison result includes a subjective comparison result of the photographed image and the paper image, if the subjective comparison result reflects that the subjective experiences of the photographed image and the paper image are identical, if a person judges that the photographed image and the paper image are close to each other in terms of brightness contrast, color saturation, white balance, and the like through visual perception of the naked eye (i.e., the difference between the two images in terms of brightness contrast, color saturation, white balance, and the like is not very large as seen by the naked eye), it may be determined that the comparison result satisfies the preset result condition.

As can be seen from the foregoing description, in this embodiment, by acquiring a comparison result of the captured image and the paper image based on a preset observation condition, and determining that the paper image meets the preset quality condition in response to the comparison result meeting the preset result condition, it is possible to accurately determine that the paper image meets the preset quality condition, and further ensure that the captured quality of the mobile device is determined by using the paper image meeting the preset quality condition and the captured image displayed on the screen, so as to improve reliability of capturing quality detection, thereby realizing subsequent research and development of capturing quality detection results based on the mobile device, improving capturing performance of the mobile device, and achieving the purpose of improving competitiveness of the mobile device.

FIG. 5 is a flowchart showing how to determine a photographic quality of the mobile device based on the paper image and the photographic image displayed by the screen, according to an exemplary embodiment of the present disclosure; the present embodiment exemplifies how to determine the photographing quality of the mobile device based on the paper image and the photographed image displayed on the screen on the basis of the above-described embodiments. As shown in fig. 5, the determining the shooting quality of the mobile device based on the paper image and the shooting image displayed on the screen in the step S103 may include the following steps S501 to S502:

In step S501, a first image quality of the captured image and a second image quality of the paper image are determined based on a set image quality evaluation index.

In this embodiment, when the photographing quality of the mobile device is determined based on the paper image and the photographed image displayed by the screen, the first image quality of the photographed image and the second image quality of the paper image may be determined based on a set image quality evaluation index.

It should be noted that, the set image quality evaluation index may be set based on actual service requirements. Illustratively, the setting of the image quality evaluation index may include at least one of: color difference (e.g., Δe), exposure, color accuracy, level of detail richness, amount of noise, blurring effect, degree of artifact control. Specifically:

in an objective aspect, Δe of different color blocks in the paper image and the photographed image can be measured respectively, and if Δe is smaller, the better the image quality of the paper image and the photographed image can be reflected;

At a subjective level, the quality of the paper image and the quality of the captured image may be measured based on how well the paper image and the captured image meet the criteria (i.e., "following") corresponding to the set image quality evaluation index:

Exposure degree: the overall brightness is proper, the overexposure is avoided, the underexposure is avoided, the contrast is proper, the overall picture is transparent, and the dynamic range is good;

color accuracy: the picture is bright and natural, the memory color is accurate, and the white balance is accurate;

detail abundance degree: the detail is rich, the sharpening degree is proper, and the appearance is natural;

noise amount: the picture is pure, and the noise is properly controlled;

The blurring effect is as follows: accurate picture matting, natural blurring without obvious demarcation and blurring transition conforming to the distance relation;

artifact control degree: the purple-sided green-sided control is proper, and no obvious glare and ghost are generated.

In step S502, a photographing quality of the mobile device is determined based on the first image quality and the second image quality.

In this embodiment, after determining the first image quality of the captured image and the second image quality of the paper image based on the set image quality evaluation index, the capturing quality of the mobile device may be determined based on the first image quality and the second image quality.

For example, the quality score of the paper image and the quality score of the photographed image may be calculated based on the degree to which the paper image and the photographed image meet the criteria corresponding to the set image quality evaluation index, and then the photographed quality score of the mobile device may be determined based on the quality score of the paper image and the quality score of the photographed image, so as to determine whether the photographed quality of the mobile device meets the set photographing quality requirement based on the comparison result between the photographed quality score of the mobile device and the set quality score threshold.

For example, the quality score of the paper image and the quality score of the photographed image may be weighted and calculated to obtain the photographed quality score of the mobile device.

On the basis, when the shooting quality score of the mobile equipment is larger than or equal to a set quality score threshold value, the shooting quality of the mobile equipment can be judged to accord with the set shooting quality requirement; and when the shooting quality score of the mobile device is smaller than the set quality score threshold value, the shooting quality of the mobile device can be judged to be not in accordance with the set shooting quality requirement.

As can be seen from the foregoing description, in this embodiment, by determining the first image quality of the captured image and the second image quality of the paper image based on the set image quality evaluation index, and determining the captured quality of the mobile device based on the first image quality and the second image quality, it is possible to accurately determine the captured quality of the mobile device based on the paper image and the captured image displayed on the screen, ensure reliability of capturing quality detection, and facilitate improvement of capturing performance of the mobile device based on a capturing quality detection result of the mobile device at the research end, thereby improving competitiveness of the mobile device.

Fig. 6 is a flowchart illustrating a photographing quality detection method according to another exemplary embodiment of the present disclosure; the method of the present embodiment can be applied to an electronic device having a data processing function.

As shown in fig. 6, the method includes the following steps S601 to S607:

In step S601, in response to acquiring a first captured image based on the mobile device, the captured image is displayed based on the screen.

In step S602, a paper image corresponding to the photographed image printed based on a pre-selected first paper, which may be larger in size than the screen, is acquired.

In step S603, the photographing quality of the mobile device is determined based on the paper image and the photographed image displayed by the screen.

The explanation and explanation of the steps S601-S603 may be referred to the steps S101-S103 in the embodiment shown in fig. 1, which are not described herein.

In step S604, it is determined whether the shooting quality of the mobile device meets a set shooting quality requirement: if yes, go to step S605; if not, step S606 is performed.

In step S605, the method flow ends. On the basis, the shooting parameters of the current mobile equipment can be saved and recorded for subsequent use.

In step S606, shooting parameters of the mobile device are adjusted based on a preset parameter adjustment algorithm.

In this embodiment, the shooting parameters may include at least one of the following parameters:

Exposure control parameters, gamma correction parameters, tone Mapping parameters, color correction parameters, noise reduction parameters.

For example, when adjusting the exposure control parameters of the mobile device, i.e., AEC TARGET (automatic exposure control), luminance statistics may be performed on the current luminance image; determining a new AEC TARGET; new exposure parameters such as exposure time, aperture, gain, etc. are calculated again; applying the new exposure parameters to the camera; repeating the above four steps until the brightness meets the requirement.

When the Gamma correction parameters of the mobile equipment are adjusted, the camera sensor based on the mobile equipment can collect scene images, then the Gamma curve is adjusted, the brightness and the contrast are controlled, and meanwhile, the images can be more in line with the light and shade perception habit of human eyes, and further, the images are displayed and output.

When the Tone Mapping parameter of the mobile device is adjusted, the image can be divided into different areas according to different distribution of brightness values of the picture, and different brightness curves are applied to the separated areas for adjustment, so that the overall contrast of the shot image is improved.

When adjusting color correction (e.g., white balance correction, demosaicing, color correction, color enhancement) parameters of a mobile device, white balance may be achieved by adjusting the ratio between the three R/G/B channels;

The image is restored into a full-color image through interpolation to realize demosaicing; color correction is achieved by making the image color correction conform to the response curve of human eyes to color; color enhancement is achieved by preference color adjustment for some scene colors such as blue sky, green plants, flowers.

When the noise reduction parameters MFNR of the mobile device are adjusted, multiple frames of pictures can be shot based on the camera sensor of the mobile device, then alignment between frames is performed, and noise reduction is performed through multiple frames of superposition.

The above adjustment manners of the shooting parameters are only used for illustration, and in practical application, other parameter adjustment manners may be selected based on the requirements of the actual scene, which is not limited in this embodiment.

In step S607, based on the mobile device, the shooting is re-performed using the adjusted shooting parameters.

In this embodiment, after the shooting parameters of the mobile device are adjusted based on a preset parameter adjustment algorithm, the shooting parameters after adjustment may be used to re-shoot based on the mobile device. On this basis, it is possible to jump to step S601 to re-execute the shooting quality detection flow of the present embodiment until the method flow ends.

It should be noted that, the above-mentioned photographed image refers to a photographed image of the sample photographing object, so that the re-photographing with the adjusted photographing parameters refers to re-acquiring another photographed image of the sample photographing object, instead of acquiring the previous photographed image.

As can be seen from the foregoing description, in this embodiment, by adjusting the shooting parameters of the mobile device based on a preset parameter adjustment algorithm in response to the currently determined shooting quality of the mobile device not meeting the set shooting quality requirement, and re-shooting with the adjusted shooting parameters based on the mobile device, the shooting quality detection process may be performed circularly until the shooting quality of the mobile device meets the set shooting quality requirement to improve the rationality of the shooting parameters of the mobile device, so as to further improve the shooting performance of the mobile device.

Fig. 7 is a block diagram of a photographing quality detecting apparatus according to an exemplary embodiment of the present disclosure; the device of the embodiment can be applied to electronic equipment with a data processing function.

As shown in fig. 7, the apparatus includes: a captured image display module 110, a paper image acquisition module 120, and a captured quality detection module 130, wherein:

a photographed image display module 110 for responding to a photographed image acquired based on a mobile device and displaying the photographed image based on a screen;

a paper image acquisition module 120 for acquiring a paper image corresponding to the photographed image printed based on a first paper selected in advance;

And a shooting quality detection module 130, configured to determine a shooting quality of the mobile device based on the paper image and the shooting image displayed on the screen.

As can be seen from the foregoing description, the apparatus of this embodiment determines, by responding to acquiring a shot image based on a mobile device, displaying the shot image based on a screen, and acquiring a paper image corresponding to the shot image printed based on a first paper selected in advance, further determining, based on the paper image and the shot image displayed on the screen, shooting quality of the mobile device, and since the paper image may reflect image details that cannot be reflected by more shot images, determining, based on the paper image and the shot image displayed on the screen, the shooting quality of the mobile device together, may more accurately reflect the shooting quality of the mobile device in an actual situation, improve reliability of shooting quality detection, and facilitate improving shooting performance of the mobile device based on a shooting quality detection result of the mobile device at a later stage, so as to improve competitiveness of the mobile device.

Fig. 8 is a block diagram illustrating yet another photographing quality detecting apparatus according to an exemplary embodiment of the present disclosure; the device of the embodiment can be applied to electronic equipment with a data processing function. The functions of the captured image display module 210, the paper image obtaining module 220, and the captured quality detecting module 230 are the same as those of the captured image display module 110, the paper image obtaining module 120, and the captured quality detecting module 130 in the embodiment shown in fig. 7, and are not described herein.

In this embodiment, the paper image acquisition module 220 may include:

a color data determining unit 221, configured to determine second color data corresponding to the first color data of the captured image based on a color mapping relationship between the mobile device and a printing device;

a paper image acquisition unit 222 for acquiring a paper image obtained by the printing apparatus by printing on the first paper with the second color data.

In some embodiments, the shooting quality detection module 230 may be further configured to perform the operation of determining the shooting quality of the mobile device based on the paper image and the shooting image displayed on the screen in response to the paper image satisfying a preset quality condition.

In some embodiments, the apparatus may further include a paper image determination module 240;

The paper image determining module 240 may include:

a comparison result obtaining unit 241, configured to obtain a comparison result of the captured image and the paper image based on preset observation conditions, where the observation conditions include at least one of a light source type, illuminance, color rendering index, and illumination uniformity of ambient light;

And the paper image judging unit 242 is used for responding to the comparison result to meet the preset result condition and determining that the paper image meets the preset quality condition.

In some embodiments, the comparison result may include an objective comparison result of the photographed image and the paper image, where the objective comparison result includes a difference value of chromatic aberration;

Furthermore, the comparison result satisfies a preset result condition, which may include:

In some embodiments, the above-mentioned comparison result may include a subjective comparison result of the photographed image and the paper image, where the subjective comparison result includes a comparison result of at least one of brightness contrast, color saturation, and white balance;

In some embodiments, the apparatus may further comprise;

A mapping relation adjustment module 250, configured to adjust a color mapping relation between the mobile device and the printing device in response to the paper image not meeting the preset quality condition;

further, the paper image obtaining module 220 may be further configured to obtain a paper image corresponding to the captured image reprinted by the printing apparatus based on the adjusted color mapping relationship and the pre-selected second paper.

In some embodiments, the shooting quality detection module 230 may include:

An image quality determining unit 231 configured to determine a first image quality of the captured image and a second image quality of the paper image based on a set image quality evaluation index including at least one of:

a shooting quality determining unit 232 for determining a shooting quality of the mobile device based on the first image quality and the second image quality.

In some embodiments, the apparatus may further include:

a parameter adjustment module 260, configured to adjust a shooting parameter of the mobile device based on a preset parameter adjustment algorithm in response to the currently determined shooting quality of the mobile device not meeting a set shooting quality requirement;

A first image acquisition module 270 is configured to re-capture, based on the mobile device, with the adjusted capture parameters.

The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.

Fig. 9 is a block diagram of an electronic device, according to an example embodiment. For example, device 900 may be a mobile phone, computer, digital broadcast terminal, messaging device, game console, tablet device, medical device, exercise device, personal digital assistant, and the like.

Referring to fig. 9, device 900 may include one or more of the following components: a processing component 902, a memory 904, a power component 906, a multimedia component 908, an audio component 910, an input/output (I/O) interface 912, a sensor component 914, and a communication component 916.

The processing component 902 generally controls overall operation of the device 900, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 902 may include one or more processors 920 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 902 can include one or more modules that facilitate interaction between the processing component 902 and other components. For example, the processing component 902 can include a multimedia module to facilitate interaction between the multimedia component 908 and the processing component 902.

The memory 904 is configured to store various types of data to support operations at the device 900. Examples of such data include instructions for any application or method operating on device 900, contact data, phonebook data, messages, pictures, videos, and the like. The memory 904 may be implemented by any type of volatile or nonvolatile memory device or combination thereof, 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 disk.

The power supply component 906 provides power to the various components of the device 900. Power supply components 906 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for device 900.

The multimedia component 908 comprises a screen between the device 900 and the user that provides an output interface. In some embodiments, the screen may include a display panel and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 908 includes a front-facing camera and/or a rear-facing camera. The front-facing camera and/or the rear-facing camera may receive external multimedia data when the device 900 is in an operational mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

The audio component 910 is configured to output and/or input audio signals. For example, the audio component 910 includes a Microphone (MIC) configured to receive external audio signals when the device 900 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in the memory 904 or transmitted via the communication component 916. In some embodiments, the audio component 910 further includes a speaker for outputting audio signals.

The I/O interface 912 provides an interface between the processing component 902 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.

The sensor assembly 914 includes one or more sensors for providing status assessment of various aspects of the device 900. For example, the sensor assembly 914 may detect the on/off state of the device 900, the relative positioning of the components, such as the display panel and keypad of the device 900, the sensor assembly 914 may also detect the change in position of the device 900 or one component of the device 900, the presence or absence of user contact with the device 900, the orientation or acceleration/deceleration of the device 900, and the change in temperature of the device 900. The sensor assembly 914 may also include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 914 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 914 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 916 is configured to facilitate communication between the device 900 and other devices, either wired or wireless. The device 900 may access a wireless network based on a communication standard, such as WiFi,2G or 3G,4G or 5G, or a combination thereof. In one exemplary embodiment, the communication component 916 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component 916 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 900 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, microcontrollers, microprocessors, or other electronic components for executing the methods described above.

In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as a memory 904 including instructions executable by the processor 920 of the device 900 to perform the above-described method. For example, the non-transitory computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.

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 adaptations, uses, or adaptations of the disclosure following the general 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 is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A photographing quality detecting method, the method comprising:

acquiring a shooting image shot by mobile equipment, and displaying the shooting image on a screen;

2. The method of claim 1, wherein the acquiring a paper image corresponding to the captured image printed based on the pre-selected first paper sheet comprises:

3. The method according to claim 1, wherein the method further comprises:

4. A method according to claim 3, characterized in that the method further comprises:

5. The method of claim 4, wherein the comparison comprises an objective comparison of the captured image and the paper image, the objective comparison comprising a difference in color difference;

6. The method of claim 4 or 5, wherein the comparison comprises a subjective comparison of the captured image with the paper image, the subjective comparison comprising a comparison of at least one of brightness contrast, color saturation, and white balance;

7. A method according to claim 3, characterized in that the method further comprises:

8. The method of claim 1, wherein the determining the quality of the shot of the mobile device based on the paper image and the shot image displayed by the screen comprises:

9. The method according to claim 1, wherein the method further comprises:

and re-shooting the shooting image by using the adjusted shooting parameters based on the mobile equipment.

10. A photographing quality detecting apparatus, characterized by comprising:

11. An electronic device, the device comprising:

A processor and a memory for storing a computer program;

12. A computer readable storage medium having stored thereon a computer program, the program being embodied when executed by a processor: