CN114025104A - Color image display device and color image display system - Google Patents
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Abstract
The invention belongs to the field of image display, relates to a color image display technology, and is used for the problem that the prior image display device and image display system can not classify and manage images through the color parameters of the images, in particular to a color image display device and a color image display system, wherein an image processor is in communication connection with an image quality analysis module, a storage module, a calling analysis module, an image classification module, an image receiving module and a display module; the image quality analysis module is used for detecting and analyzing the quality of the color image through the image parameters and obtaining an image quality coefficient; according to the method and the device, the calling habits of the user can be analyzed according to the calling coefficients of the primary image, the secondary image and the tertiary image, value analysis is carried out on the images in different levels, and the value analysis result is matched with the aesthetic habits of the user, so that the low-value images in different levels are processed according to the aesthetic habits of the user.
Description
Technical Field
The invention belongs to the field of image display, relates to a color image display technology, and particularly relates to a color image display device and a color image display system.
Background
By connecting the information processing apparatus and the image display apparatus via an image transmission cable to transmit an image signal from the information processing apparatus to the image display apparatus, thereby enabling the image display apparatus to display on the information processing apparatus such as a personal computer; further, since the network environment is widely spread, image data generated in the information processing apparatus can be transmitted to the image display apparatus via the network, and the image display apparatus can enlarge and display the received image data.
The conventional image display device and the image display system do not have the function of classifying and managing images through color parameters of the images, and further cannot evaluate the value of the images through calling parameters of the images according to the categories, so that a large amount of low-value images occupy storage space in one category.
Disclosure of Invention
The invention aims to provide a color image display device and a color image display system, which are used for solving the problem that the prior image display device and the prior image display system can not classify and manage images according to color parameters of the images;
the technical problems to be solved by the invention are as follows: how to provide an image display system which can perform classified evaluation on the value of a color image.
The purpose of the invention can be realized by the following technical scheme:
a color image display system comprises an image processor, wherein the image processor is in communication connection with an image quality analysis module, a storage module, a calling analysis module, an image classification module, an image receiving module and a display module;
the color image is sent to the image processor through the image receiving module, and the image processor sends the received color image to the display module for display;
the image quality analysis module is used for detecting and analyzing the quality of the color image through the image parameters and obtaining an image quality coefficient;
the image quality analysis module sends the analysis image and the image quality coefficient of the analysis image to the image classification module through the image processor, the image classification module judges the prominence grade of the analysis image after receiving the analysis image, and judges the analysis image as a primary image, a secondary image or a tertiary image;
and the calling analysis module is used for carrying out calling condition analysis on the analysis images stored in the storage module and deleting the low-value images through the value analysis model.
As a preferred embodiment of the present invention, the specific process of the image quality analysis module performing detection analysis on the quality of the color image includes:
marking a color image to be detected as an analysis image, obtaining the resolution of the analysis image and marking the resolution as FB, obtaining the memory value of the analysis image and marking the memory value as NC, and obtaining the picture quality coefficient TZ of the analysis image through a formula TZ which is alpha 1 multiplied by FB + alpha 2 multiplied by NC, wherein alpha 1 and alpha 2 are both proportional coefficients, and alpha 1 is more than alpha 2 and more than 1.
As a preferred embodiment of the present invention, the specific process of the image classification module for performing the saliency level determination on the analysis image includes:
amplifying the analysis image into a pixel grid image, and performing gray level conversion on the pixel grid image to obtain a contrast image; marking pixel grids of the compared image as i, wherein i is 1, 2, …, n and n are positive integers, marking the gray value of the pixel grid i as HDi, comparing the gray value HDi of the pixel grid i with a gray threshold HDmax one by one, marking the pixel grid of which the gray value HDi is not less than the gray threshold as a salient pixel, and acquiring the number of the salient pixels and marking the number as m;
performing contact judgment on the salient pixels and outputting a numerical value o of the salient area;
obtaining a contrast value DD of the contrast image through a formula DD ═ m/n + o/m) multiplied by TZ, comparing the contrast value DD with contrast threshold values DDmin and DDmax, and judging the highlighting grade of the analysis image according to the comparison result;
the image classification module sends the analysis image and the prominence grade of the analysis image to the storage module through the image processor for storage.
As a preferred embodiment of the present invention, the process of contact determination includes: setting the initial value of the salient region to be zero, selecting one salient pixel as a calibration pixel, and if the four pixel grids in contact with the calibration pixel have no salient pixel, adding the number of the salient regions and selecting the next salient pixel as the calibration pixel; if the four pixel grids in contact with the calibration pixel have the salient pixels, marking the salient pixels in the four pixel grids as the calibration pixel, judging whether the four pixel grids in contact with the calibration pixel have the salient pixels again until the four pixel grids in contact with the calibration pixel do not have the salient pixels, and adding the number of the salient areas and selecting the next salient pixel as the calibration pixel; the above operations are repeated until all the salient pixels are selected as the calibration pixels.
As a preferred embodiment of the present invention, the comparison process of the comparison value DD and the comparison threshold values DDmin, DDmax includes:
if DD is less than or equal to DDmin, judging that the salient grade of the contrast image is three-level, and judging that the corresponding contrast image is a three-level image;
if DDmin is less than DD and less than DDmax, judging that the salient grade of the contrast image is a second grade, and the corresponding contrast image is a second grade image;
and if DD is larger than or equal to DDmax, judging that the highlight grade of the contrast image is a first grade, and judging that the corresponding contrast image is a first grade image.
As a preferred embodiment of the present invention, the specific process of the call analysis module for performing call condition analysis on the analysis image stored in the storage module includes: the method comprises the steps that the total number of analysis images called by a storage module in L1 days is obtained and marked as ZS, the numbers of primary images, secondary images and tertiary images are marked as Q1, Q2 and Q3 respectively, L1 is a time constant, the times of repeated calling in the primary images, the secondary images and the tertiary images are marked as t1, t2 and t3 respectively, and calling coefficients DY1, DY2 and DY3 of the primary images, the secondary images and the tertiary images are obtained through formulas DY1 ═ Q1-t1)/ZS, DY2 ═ Q2-t2)/ZS and DY3 ═ Q3-t3)/ZS respectively, and the calling analysis module sends the calling coefficients of the primary images, the secondary images and the tertiary images to a display module through an image processor to display the display module to display the display module;
and carrying out numerical comparison on the calling coefficients of the primary image, the secondary image and the tertiary image, and marking the image grade with the highest calling coefficient value as a high-quality grade.
As a preferred embodiment of the present invention, the specific process of the value analysis model for performing value analysis on the primary image includes: marking the primary image as image u, u being 1, 2, …, w, w being a positive integer, taking the total number of times image u was invoked within L2 days and marking it as CSu, marking the interval time between the first invocation and the second invocation of image u as JG1, comparing interval time JG1 with interval threshold JGmin: if JG1 is not more than JGmin, judging that the image is called for the second time as invalid repetition, and subtracting one from the value of the total calling times CSu; if JG is more than JGmin, judging that the image is called effectively repeatedly for the second time, and keeping the total calling times CSu unchanged; marking the interval time between the second call and the third call of the image u as JG2, comparing the interval time JG2 with an interval threshold JGmin, and so on until the comparison between the interval time of the last call of the image u and the interval threshold is completed;
acquiring the total time length of the image u displayed by the display module in L2 days, marking the total time length as SCu, obtaining a value coefficient JZu of the image u through a formula JZu of beta 1 multiplied by CSu + beta 2 multiplied by SCu, comparing the value coefficient JZu of the image u with value thresholds JZmin and JZmax, and judging whether the image u is a low-value image according to a comparison result;
and deleting the low-value images in the storage module.
In a preferred embodiment of the present invention, the comparison between the value coefficient JZu of the image u and the value thresholds JZmin and JZmax includes:
if JZu is less than or equal to JZmin, judging the image u as a low-value image;
if JZ is less than JZu and less than JZmax, judging the image u as a qualified image;
if JZu is not less than JZmax, the image u is judged as a high-value image.
A color image display device comprises a display panel, wherein a main screen, a first auxiliary screen, a second auxiliary screen and an electric quantity display are arranged on the front surface of the display panel, the main screen is used for displaying a color image, and the first auxiliary screen is used for displaying a picture quality coefficient, a contrast value and a value coefficient of a currently displayed image; and the second secondary screen is used for displaying the number of the primary images, the secondary images and the tertiary images stored in the storage module.
The invention has the following beneficial effects:
1. the overall quality of the color image is detected and analyzed through the image quality analysis module according to the image parameters to obtain image quality coefficients, the overall display value of the color image is reflected through the image quality coefficients, and meanwhile, the numerical values of the image quality coefficients also have weight influence on the acquisition of contrast values, so that the saliency of the contrast image can be influenced through the image parameters, and the saliency judgment result is more accurate;
2. the image classification module enlarges the analysis image into a pixel grid image, performs gray scale conversion on the pixel grid image to obtain a gray scale image, judges whether the pixel grid is a protruded pixel according to a comparison result of the gray scale value of each pixel grid and a gray scale threshold value, simultaneously performs contact judgment on the protruded pixel, reflects the distribution condition of the protruded pixel in the pixel grid image according to the contact judgment result, the larger the number of the protruded areas is, the more the distribution of the protruded pixel in the pixel grid image is diverged, otherwise, the more the distribution of the protruded pixel in the pixel grid image is concentrated, thereby obtaining a contrast value through numerical calculation of the protruded pixel and the protruded areas, judges the protruded level of the contrast image according to the comparison result of the contrast value and the contrast threshold value, and classifies the color image according to the color protruded degree of the color image and the whole condition of the color distribution, the aesthetic feeling of the user can be judged by calling data subsequently;
3. the calling analysis module is used for analyzing the calling condition of the primary image, the secondary image and the tertiary image and obtaining a calling coefficient, so that the calling habits of users are analyzed according to the calling coefficients of the primary image, the secondary image and the tertiary image, value analysis is carried out on the images of different levels, a value analysis result is matched with the aesthetic habits of the users, and low-value images of different levels are processed according to the aesthetic habits of the users.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic block diagram of a first embodiment of the present invention;
fig. 2 is a front view of the structure of the second embodiment of the present invention.
In the figure: 1. a display panel; 2. a main screen; 3. a first sub-screen; 4. a second sub-screen; 5. and an electric quantity display.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1, a color image display system includes an image processor, wherein the image processor is communicatively connected with an image quality analysis module, a storage module, a call analysis module, an image classification module, an image receiving module, and a display module;
the color image is sent to the image processor through the image receiving module, and the image processor sends the received color image to the display module for display;
the image quality analysis module is used for detecting and analyzing the quality of the color image through image parameters, wherein the image parameters comprise the resolution and the memory value of the color image, and the image resolution refers to the number of pixels (in units of pixel/inch or pixel/centimeter) contained in the unit length of the image along the width direction and the height direction. For the same image, the higher the resolution is, the more detailed the description of the image is, and the larger the required data amount is; the lower the resolution, the coarser the image, and the smaller the data volume, and the specific detection analysis process includes:
the method comprises the steps of marking a color image to be detected as an analysis image, obtaining the resolution of the analysis image and marking the color image as FB, obtaining a memory value of the analysis image and marking the memory value as NC, obtaining a picture quality coefficient TZ of the analysis image through a formula TZ which is alpha 1 multiplied by FB + alpha 2 multiplied by NC, wherein alpha 1 and alpha 2 are both proportionality coefficients, and alpha 1 is more than alpha 2 and more than 1, wherein the picture quality coefficient TZ is a numerical value which reflects the display value of the analysis image, and the larger the numerical value of the picture quality coefficient TZ is, the higher the display value of the analysis image is.
The image quality analysis module sends the analysis image and the image quality coefficient of the analysis image to the image classification module through the image processor, the image classification module judges the prominence grade of the analysis image after receiving the analysis image, and the specific process of judging the prominence grade of the analysis image comprises the following steps:
amplifying an analysis image into a pixel grid image, and carrying out gray level transformation on the pixel grid image to obtain a contrast image, wherein the gray level transformation refers to a method for changing the gray level value of each pixel in a source image point by point according to a certain target condition in a certain transformation relation, the purpose is to improve the image quality and enable the display effect of the image to be clearer, and the gray level transformation processing of the image is a very basic and direct spatial domain image processing method in the image enhancement processing technology and is also an important component of image digitization software and image display software; marking pixel grids of the compared image as i, wherein i is 1, 2, …, n and n are positive integers, marking the gray value of the pixel grid i as HDi, comparing the gray value HDi of the pixel grid i with a gray threshold HDmax one by one, marking the pixel grid of which the gray value HDi is not less than the gray threshold HDmax as a salient pixel, and acquiring the number of the salient pixels and marking the number as m;
and performing contact judgment on the protruded pixels and outputting the numerical value o of the protruded area, wherein the process of the contact judgment comprises the following steps: setting the initial value of the salient region to be zero, selecting one salient pixel as a calibration pixel, and if the four pixel grids in contact with the calibration pixel have no salient pixel, adding the number of the salient regions and selecting the next salient pixel as the calibration pixel; if the four pixel grids in contact with the calibration pixel have the salient pixels, marking the salient pixels in the four pixel grids as the calibration pixel, judging whether the four pixel grids in contact with the calibration pixel have the salient pixels again until the four pixel grids in contact with the calibration pixel do not have the salient pixels, and adding the number of the salient areas and selecting the next salient pixel as the calibration pixel; repeating the above operations until all the salient pixels are selected as calibration pixels, integrating the mutually contacted salient pixels into a salient region through contact judgment, and feeding back the distribution condition of the salient pixels in the pixel grid image according to the number of the salient regions, wherein the larger the number of the salient regions is, the more divergent the distribution of the salient pixels in the pixel grid image is, and otherwise, the more concentrated the distribution of the salient pixels in the pixel grid image is;
obtaining a contrast value DD of the contrast image by a formula DD ═ m/n + o/m) × TZ, wherein the contrast value DD is a value for feeding back image characteristics from a color highlighting and distribution angle, the larger the contrast value DD is, the more prominent and dispersed the colors of the contrast image are, the stronger the color expression is, and the contrast value DD is compared with contrast thresholds DDmin and DDmax:
if DD is less than or equal to DDmin, judging that the salient grade of the contrast image is three-level, and judging that the corresponding contrast image is a three-level image;
if DDmin is less than DD and less than DDmax, judging that the salient grade of the contrast image is a second grade, and the corresponding contrast image is a second grade image;
if DD is larger than or equal to DDmax, judging that the salient grade of the contrast image is a first grade, and judging that the corresponding contrast image is a first grade image;
the image classification module sends the analysis image and the prominence grade of the analysis image to the storage module through the image processor for storage.
The calling analysis module is used for carrying out calling condition analysis on the analysis images stored in the storage module, acquiring the total number of the analysis images called by the storage module within L1 days and marking the total number as ZS, marking the numbers of the primary images, the secondary images and the tertiary images as Q1, Q2 and Q3 respectively, wherein L1 is a time constant, marking the times of repeated calling in the primary images, the secondary images and the tertiary images as t1, t2 and t3 respectively, and obtaining the calling coefficients DY1, DY2 and DY3 of the primary images, the secondary images and the tertiary images respectively through the formulas DY1 as (Q1-t1)/ZS, DY2 as (Q2-t2)/ZS and DY3 as (Q3-t3)/ZS, wherein the calling coefficients of the primary images, the secondary images and the tertiary images are sent to the display module for display through the image processor, the calling coefficient is a numerical value reflecting the calling frequency of the image, and the higher the numerical value of the calling coefficient is, the higher the calling frequency of the image is;
carrying out numerical comparison on the calling coefficients of the primary image, the secondary image and the tertiary image, and marking the image grade with the highest calling coefficient value as a high-quality grade;
sending the analysis image and the prominence grade of the analysis image to a value analysis model for value analysis, wherein the specific process of the value analysis model for carrying out value analysis on the primary image comprises the following steps: marking the primary image as image u, u being 1, 2, …, w, w being a positive integer, taking the total number of times image u was invoked within L2 days and marking it as CSu, marking the interval time between the first invocation and the second invocation of image u as JG1, comparing interval time JG1 with interval threshold JGmin: if JG1 is not more than JGmin, judging that the image is called for the second time as invalid repetition, and subtracting one from the value of the total calling times CSu; if JG is more than JGmin, judging that the image is called effectively repeatedly for the second time, and keeping the total calling times CSu unchanged; marking the interval time between the second call and the third call of the image u as JG2, comparing the interval time JG2 with an interval threshold JGmin, and so on until the comparison between the interval time of the last call of the image u and the interval threshold is completed, so that the call habits of users are analyzed according to the call coefficients of the primary image, the secondary image and the tertiary image, value analysis is carried out on the images of different levels, the value analysis result is matched with the aesthetic habits of the users, and low-value images in different levels are processed according to the aesthetic habits of the users;
acquiring the total time length of the image u displayed by the display module in L2 days, marking the total time length as SCu, obtaining a value coefficient JZu of the image u through a formula JZu of beta 1 × CSu + beta 2 × SCu, and comparing the value coefficient JZu of the image u with value thresholds JZmin and JZmax:
if JZu is less than or equal to JZmin, judging the image u as a low-value image;
if JZ is less than JZu and less than JZmax, judging the image u as a qualified image;
if JZu is not less than JZmax, the image u is judged to be a high-value image;
and deleting the low-value images in the storage module.
And the value analysis model performs value analysis on the secondary image and the tertiary image in the same way.
Example two
Referring to fig. 2, a color image display device includes a display panel 1, a main screen 2, a first sub-screen 3, a second sub-screen 4 and an electric quantity display 5 are disposed on a front surface of the display panel 1, the main screen 2 is used for displaying a color image, and the first sub-screen 3 is used for displaying a picture quality coefficient, a contrast value and a value coefficient of a currently displayed image; the second secondary screen 4 is used for displaying the number of the primary images, the secondary images and the tertiary images stored in the storage module.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions; such as: the formula TZ ═ α 1 × FB + α 2 × NC; collecting multiple groups of sample data and setting corresponding image quality coefficient for each group of sample data by the technicians in the field; substituting the set figure quality coefficient and the acquired sample data into formulas, forming a linear equation set by any two formulas, screening the calculated coefficients and taking the mean value to obtain values of alpha 1 and alpha 2 which are 2.87 and 2.54 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and regarding the size of the coefficient, the size depends on the number of sample data and a corresponding image quality coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relationship between the parameter and the quantized value is not affected, e.g., the image quality coefficient is proportional to the value at the resolution.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (9)
1. A color image display system comprises an image processor, and is characterized in that the image processor is in communication connection with an image quality analysis module, a storage module, a calling analysis module, an image classification module, an image receiving module and a display module;
the color image is sent to the image processor through the image receiving module, and the image processor sends the received color image to the display module for display;
the image quality analysis module is used for detecting and analyzing the quality of the color image through the image parameters and obtaining an image quality coefficient;
the image quality analysis module sends the analysis image and the image quality coefficient of the analysis image to the image classification module through the image processor, the image classification module judges the prominence grade of the analysis image after receiving the analysis image, and judges the analysis image as a primary image, a secondary image or a tertiary image;
and the calling analysis module is used for carrying out calling condition analysis on the analysis images stored in the storage module and deleting the low-value images through the value analysis model.
2. The color image display system according to claim 1, wherein the specific process of the image quality analysis module performing detection analysis on the quality of the color image comprises:
marking a color image to be detected as an analysis image, obtaining the resolution of the analysis image and marking the resolution as FB, obtaining the memory value of the analysis image and marking the memory value as NC, and obtaining the picture quality coefficient TZ of the analysis image through a formula TZ which is alpha 1 multiplied by FB + alpha 2 multiplied by NC, wherein alpha 1 and alpha 2 are both proportional coefficients, and alpha 1 is more than alpha 2 and more than 1.
3. The color image display system according to claim 2, wherein the image classification module performs the saliency determination on the analysis image by:
amplifying the analysis image into a pixel grid image, and performing gray level conversion on the pixel grid image to obtain a contrast image; marking pixel grids of the compared image as i, wherein i is 1, 2, …, n and n are positive integers, marking the gray value of the pixel grid i as HDi, comparing the gray value HDi of the pixel grid i with a gray threshold HDmax one by one, marking the pixel grid of which the gray value HDi is not less than the gray threshold as a salient pixel, and acquiring the number of the salient pixels and marking the number as m;
performing contact judgment on the salient pixels and outputting a numerical value o of the salient area;
obtaining a contrast value DD of the contrast image through a formula DD ═ m/n + o/m) multiplied by TZ, comparing the contrast value DD with contrast threshold values DDmin and DDmax, and judging the highlighting grade of the analysis image according to the comparison result;
the image classification module sends the analysis image and the prominence grade of the analysis image to the storage module through the image processor for storage.
4. The color image display system according to claim 3, wherein the contact determination process comprises: setting the initial value of the salient region to be zero, selecting one salient pixel as a calibration pixel, and if the four pixel grids in contact with the calibration pixel have no salient pixel, adding the number of the salient regions and selecting the next salient pixel as the calibration pixel; if the four pixel grids in contact with the calibration pixel have the salient pixels, marking the salient pixels in the four pixel grids as the calibration pixel, judging whether the four pixel grids in contact with the calibration pixel have the salient pixels again until the four pixel grids in contact with the calibration pixel do not have the salient pixels, and adding the number of the salient areas and selecting the next salient pixel as the calibration pixel; the above operations are repeated until all the salient pixels are selected as the calibration pixels.
5. A color image display system as claimed in claim 3, characterized in that the comparison of the contrast value DD with the contrast threshold values DDmin, DDmax comprises:
if DD is less than or equal to DDmin, judging that the salient grade of the contrast image is three-level, and judging that the corresponding contrast image is a three-level image;
if DDmin is less than DD and less than DDmax, judging that the salient grade of the contrast image is a second grade, and the corresponding contrast image is a second grade image;
and if DD is larger than or equal to DDmax, judging that the highlight grade of the contrast image is a first grade, and judging that the corresponding contrast image is a first grade image.
6. The color image display system according to claim 5, wherein the specific process of the call analysis module for performing call analysis on the analysis image stored in the storage module comprises: the method comprises the steps that the total number of analysis images called by a storage module in L1 days is obtained and marked as ZS, the numbers of primary images, secondary images and tertiary images are marked as Q1, Q2 and Q3 respectively, L1 is a time constant, the times of repeated calling in the primary images, the secondary images and the tertiary images are marked as t1, t2 and t3 respectively, and calling coefficients DY1, DY2 and DY3 of the primary images, the secondary images and the tertiary images are obtained through formulas DY1 ═ Q1-t1)/ZS, DY2 ═ Q2-t2)/ZS and DY3 ═ Q3-t3)/ZS respectively, and the calling analysis module sends the calling coefficients of the primary images, the secondary images and the tertiary images to a display module through an image processor to display the display module to display the display module;
and carrying out numerical comparison on the calling coefficients of the primary image, the secondary image and the tertiary image, and marking the image grade with the highest calling coefficient value as a high-quality grade.
7. The color image display system of claim 6, wherein the value analysis model performs a value analysis on the primary image by: marking the primary image as image u, u being 1, 2, …, w, w being a positive integer, taking the total number of times image u was invoked within L2 days and marking it as CSu, marking the interval time between the first invocation and the second invocation of image u as JG1, comparing interval time JG1 with interval threshold JGmin: if JG1 is not more than JGmin, judging that the image is called for the second time as invalid repetition, and subtracting one from the value of the total calling times CSu; if JG is more than JGmin, judging that the image is called effectively repeatedly for the second time, and keeping the total calling times CSu unchanged; marking the interval time between the second call and the third call of the image u as JG2, comparing the interval time JG2 with an interval threshold JGmin, and so on until the comparison between the interval time of the last call of the image u and the interval threshold is completed;
acquiring the total time length of the image u displayed by the display module in L2 days, marking the total time length as SCu, obtaining a value coefficient JZu of the image u through a formula JZu of beta 1 multiplied by CSu + beta 2 multiplied by SCu, comparing the value coefficient JZu of the image u with value thresholds JZmin and JZmax, and judging whether the image u is a low-value image according to a comparison result;
and deleting the low-value images in the storage module.
8. The color image display system of claim 7 wherein the comparison of the value coefficient JZu of image u to the value thresholds JZmin, JZmax comprises:
if JZu is less than or equal to JZmin, judging the image u as a low-value image;
if JZ is less than JZu and less than JZmax, judging the image u as a qualified image;
if JZu is not less than JZmax, the image u is judged as a high-value image.
9. The color image display device is characterized by comprising a display panel (1), wherein a main screen (2), a first auxiliary screen (3), a second auxiliary screen (4) and an electric quantity display (5) are arranged on the front surface of the display panel (1), the main screen (2) is used for displaying a color image, and the first auxiliary screen (3) is used for displaying a picture quality coefficient, a contrast value and a value coefficient of a currently displayed image; the second auxiliary screen (4) is used for displaying the number of the primary images, the secondary images and the tertiary images stored in the storage module.
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