CN115083355A - Display control method, electronic paper display device, electronic apparatus, and readable storage medium - Google Patents
Display control method, electronic paper display device, electronic apparatus, and readable storage medium Download PDFInfo
- Publication number
- CN115083355A CN115083355A CN202210593433.7A CN202210593433A CN115083355A CN 115083355 A CN115083355 A CN 115083355A CN 202210593433 A CN202210593433 A CN 202210593433A CN 115083355 A CN115083355 A CN 115083355A
- Authority
- CN
- China
- Prior art keywords
- residual
- coefficient
- image
- color level
- shadow
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
- G09G3/34—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source
- G09G3/3433—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source using light modulating elements actuated by an electric field and being other than liquid crystal devices and electrochromic devices
- G09G3/344—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source using light modulating elements actuated by an electric field and being other than liquid crystal devices and electrochromic devices based on particles moving in a fluid or in a gas, e.g. electrophoretic devices
Abstract
The invention provides a display control method, an electronic paper display device, an electronic apparatus, and a readable storage medium. The display control method is applied to the electronic paper display device and comprises the following steps: acquiring a target image displayed by the electronic paper display device; determining a residual shadow coefficient corresponding to the target image, wherein the residual shadow coefficient is determined according to a residual shadow range and a residual shadow color level of the target image, and the residual shadow range and the residual shadow color level are determined according to a color level of each pixel of the target image and a preset color level threshold; displaying a next image of the target image in a global refreshing mode under the condition that the residual shadow coefficient is larger than a preset coefficient threshold; and displaying a next image of the target image in a local refreshing mode under the condition that the residual shadow coefficient is larger than a preset coefficient threshold value. The embodiment of the invention is beneficial to improving the use experience in different use scenes.
Description
Technical Field
The embodiment of the invention relates to the technical field of display, in particular to a display control method, an electronic paper display device, electronic equipment and a readable storage medium.
Background
The electronic paper is a display screen which is based on an electronic ink technology, wherein the electronic ink is coated on a layer of thin film, the thin film can be pasted on a thin film transistor circuit, a pixel pattern is formed through control of a driving chip, and the electronic paper display screen only carries out interface refreshing once when displayed content is updated each time. The existing electronic paper refreshing mode mainly comprises a local refreshing mode and a global refreshing mode, wherein in a full-screen refreshing mode, a screen does not have a residual image, but the whole screen needs to be blackened, and a new picture is displayed; in the local refresh mode, the screen does not need to be blackened, but the afterimage is serious, which may affect the observation effect of the displayed content. In the related art, a global refresh is usually performed after a certain number of local refreshes are performed to reduce the number of screen black flash, but the effects of generating ghost shadows are different in different use scenes, which causes the refresh mechanism in the related art to be difficult to satisfy different use scenes.
Disclosure of Invention
Embodiments of the present invention provide a display control method, an electronic paper display device, an electronic apparatus, and a readable storage medium, so as to solve a problem that a refresh mechanism in the related art is difficult to satisfy different usage scenarios.
In order to solve the problems, the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a display control method, which is applied to an electronic paper display device, and the method includes the following steps:
acquiring a target image displayed by the electronic paper display device;
determining a residual shadow coefficient corresponding to the target image, wherein the residual shadow coefficient is determined according to a residual shadow range and a residual shadow color level of the target image, and the residual shadow range and the residual shadow color level are determined according to a color level of each pixel of the target image and a preset color level threshold;
displaying a next image of the target image in a global refreshing mode under the condition that the image sticking coefficient is larger than a preset coefficient threshold value;
and displaying a next image of the target image in a local refreshing mode under the condition that the afterimage coefficient is not larger than a preset coefficient threshold value.
In some embodiments, the determining the residual image coefficient corresponding to the target image includes:
respectively acquiring a first influence coefficient of the residual shadow range on the residual shadow effect, a second influence coefficient of the residual shadow color level on the residual shadow effect and an information residual coefficient, wherein the information residual coefficient is determined by the influence of factors except the residual shadow range and the residual shadow color level on the residual shadow effect;
and determining a residual image coefficient of the target image according to the first influence coefficient, the second influence coefficient and the information residual coefficient.
In some embodiments, before determining the residual image coefficient corresponding to the target image, the method further includes:
establishing a fitting equation for calculating a residual image coefficient, wherein the fitting equation comprises a first influence coefficient, a second influence coefficient and an information residual coefficient;
calculating a predicted value of a residual image coefficient of the image test sample according to the residual image range and the residual image color level of the image test sample by using the fitting equation;
establishing a loss function according to the predicted value of the residual image coefficient of the image test sample and the labeled value of the residual image coefficient of the image test sample;
and determining the values of the first influence coefficient, the second influence coefficient and the information residual coefficient according to the existence condition of the extreme value of the loss function.
In some embodiments, the method further comprises:
obtaining an evaluation result aiming at the residual shadow in the target image;
and updating the preset coefficient threshold value and/or the preset color level threshold value according to the evaluation result.
In some embodiments, the range of the residual shadow is the number of pixels in the target image with a depth of color level greater than the preset residual shadow color level; and/or
The residual shadow color level is the color level mean value of the pixels of which the color level depth is greater than the preset residual shadow color level in the target image.
In a second aspect, an embodiment of the present invention further provides an electronic paper display device, including:
the image acquisition module is used for acquiring a target image displayed by the electronic paper display device;
a residual image coefficient determining module, configured to determine a residual image coefficient corresponding to the target image, where the residual image coefficient is determined according to a residual image range and a residual image color level of the target image, and the residual image range and the residual image color level are determined according to a color level of each pixel of the target image and a preset color level threshold;
the refreshing module is used for displaying the next image of the target image in a global refreshing mode under the condition that the ghost coefficient is larger than a preset coefficient threshold;
the refreshing module is further configured to display a next image of the target image in a local refreshing manner when the afterimage coefficient is not greater than a preset coefficient threshold.
In some embodiments, the residual shadow coefficient determination module comprises:
the coefficient acquisition submodule is used for respectively acquiring a first influence coefficient of the residual shadow range on the residual shadow effect, a second influence coefficient of the residual shadow color level on the residual shadow effect and an information residual coefficient, wherein the information residual coefficient is determined by the influence of factors except the residual shadow range and the residual shadow color level on the residual shadow effect;
and the calculating submodule is used for determining the ghosting coefficient of the target image according to the first influence coefficient, the second influence coefficient and the information residual coefficient.
In some embodiments, further comprising:
the fitting module is used for establishing a fitting equation for calculating the residual image coefficient, wherein the fitting equation comprises a first influence coefficient, a second influence coefficient and an information residual coefficient;
the predicted value calculating module is used for calculating the predicted value of the residual image coefficient of the image test sample according to the residual image range and the residual image color level of the image test sample by using the fitting equation;
the loss function establishing module is used for establishing a loss function according to the predicted value of the residual shadow coefficient of the image test sample and the marked value of the residual shadow coefficient of the image test sample;
and the influence coefficient determining module is used for determining the values of the first influence coefficient, the second influence coefficient and the information residual coefficient according to the existence condition of the extreme value of the loss function.
In a third aspect, an embodiment of the present invention further provides an electronic device, including: the electronic paper display screen comprises an electronic paper display screen, a memory, a processor and a program which is stored on the memory and can run on the processor; the processor is used for reading the program in the memory to realize the steps in the display control method.
In a fourth aspect, an embodiment of the present invention further provides a readable storage medium for storing a program, where the program is executed by a processor to implement the steps in the display control method according to any one of the above.
According to the embodiment of the invention, the ghost coefficient reflecting the ghost state of the target image is determined according to the currently displayed target image, and whether global refreshing is carried out is determined according to the value of the ghost coefficient, so that the global refreshing frequency can be reduced under the condition that the display effect is prevented from being influenced by the ghost, and the use experience under different use scenes can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a schematic flow chart of a display control method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a display control method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a display control apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device provided in the implementation of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. 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.
The terms "first," "second," and the like in the embodiments of the present invention are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Further, as used herein, "and/or" means at least one of the connected objects, e.g., a and/or B and/or C, means 7 cases including a alone, B alone, C alone, and both a and B present, B and C present, both a and C present, and A, B and C present.
The embodiment of the invention provides a display control method which is applied to an electronic paper display device.
As shown in fig. 1, in one embodiment, the display control method includes the steps of:
step 101: and acquiring a target image displayed by the electronic paper display device.
In this embodiment, a target image displayed by a display device is first acquired. It should be understood that based on the unique operating principle of the electronic paper display device, the interface is refreshed only when the content displayed by the electronic paper display device is updated, and when the interface is not required to be updated, the electronic paper display device can maintain the content displayed by the electronic paper display device without depending on power. Therefore, when the electronic paper display device displays the image, the currently displayed target image can be intercepted at any time.
Step 102: and determining a residual shadow coefficient corresponding to the target image.
After the currently displayed target image is intercepted, a residual shadow coefficient of the target image is calculated, and the residual shadow coefficient is used for representing the influence state of the residual shadow of the target image on the display effect.
In some embodiments, the residual image coefficient is determined according to a residual image range and a residual image color level of the target image, wherein the residual image range can be understood as the size of the residual image, and more specifically, the number of pixels forming the residual image. The color level of the residual shadow can be understood as the color depth of the pixel of the residual shadow. In implementation, the range of the residual shadow and the color level of the residual shadow are determined according to the color level of each pixel of the target image and a preset color level threshold.
Step 103: and displaying a next image of the target image in a global refreshing mode under the condition that the residual shadow coefficient is larger than a preset coefficient threshold value.
Step 104: and displaying a next image of the target image in a local refreshing mode under the condition that the afterimage coefficient is not larger than a preset coefficient threshold value.
In this embodiment, if the ghost coefficient is greater than the preset coefficient threshold, it indicates that more ghosts are left in the current state, and if the electronic paper display device is refreshed in a local refresh manner, more ghosts are left when the next image is displayed, which greatly affects the display effect.
If the ghost coefficient is not greater than the preset coefficient threshold, it is shown that the number of residual shadows is relatively small in the current state, and the influence on the display effect is relatively small, so that the next image can be displayed in a local refreshing manner, the occurrence frequency of the black flash phenomenon is reduced, the refreshing time of the display interface is reduced, the energy consumption is saved, and the display effect is not influenced.
In some embodiments, the step 102 comprises:
respectively acquiring a first influence coefficient of the residual shadow range on the residual shadow effect, a second influence coefficient of the residual shadow color level on the residual shadow effect and an information residual coefficient, wherein the information residual coefficient is determined by the influence of factors except the residual shadow range and the residual shadow color level on the residual shadow effect;
and determining a residual image coefficient of the target image according to the first influence coefficient, the second influence coefficient and the information residual coefficient.
In this embodiment, the severity of the residual image is considered to be linearly related to the residual image range and the residual image color level, so that a binary linear regression analysis model is constructed, and the residual image coefficient is determined by fitting a test sample.
In some embodiments, before determining the residual image coefficient corresponding to the target image, the method further includes:
establishing a fitting equation for calculating a residual image coefficient, wherein the fitting equation comprises a first influence coefficient, a second influence coefficient and an information residual coefficient;
calculating a predicted value of a residual image coefficient of the image test sample according to the residual image range and the residual image color level of the image test sample by using the fitting equation;
establishing a loss function according to the predicted value of the residual shadow coefficient of the image test sample and the labeled value of the residual shadow coefficient of the image test sample;
and determining the values of the first influence coefficient, the second influence coefficient and the information residual coefficient according to the existence condition of the extreme value of the loss function.
Specifically, in one embodiment, a fitting equation is first established:
Y＝e0+e1*X1i+e2*X2i……(1)；
wherein, Y is the predicted value of the residual image coefficient, e0 is the information residual coefficient, e1 is the first influence coefficient, e2 is the second influence coefficient, X1i is the residual image range, and X2i is the residual image color level.
For the ith (i ═ 1,2,3 … …) test sample (X1i, X2i), the range of the residual image of the test sample is X1i1, the residual image color level is X2i, the predicted value of the residual image color level is Y1i, and the standard value of the residual image color level is Y2 i.
Constructing a loss function:
L＝Σ(Y2i-Y1i) 2 ……(2)；
substituting equation (1) into equation (2) yields:
L＝Σ(Y2i-e0-e1*X1i-e2*X2i) 2 ……(3)；
the partial derivatives of the loss function L for e0, e1 and e2 are all 0, depending on the existence condition of the extremum, i.e.:
substituting the above equation (3) into (4) to (6), respectively, can result in:
∑(Y2i-e1*X1i-e2*X2i-e0)＝0……(7)；
∑(Y2i-e1*X1i-e2*X2i-e0)X1i＝0……(8)；
∑(Y2i-e1*X1i-e2*X2i-e0)X2i＝0……(9)；
from equations (7) to (9), one can solve:
e0＝Y0-e1*X10-e2*X20……(10)；
e1＝{(∑yi*x1i)(∑x2i 2 )-(∑yi*x2i)(∑x1i*∑x2i)}/{(∑x1i 2 )*(∑x2i 2 )-(∑
x1i*x2i) 2 }……(11)；
e2＝{(∑yi*x2i)(∑x1i 2 )-(∑yi*x1i)(∑x1i*∑x2i)}/{(∑x1i 2 )*(∑x2i 2 )-(∑
x1i*x2i) 2 }……(12)；
wherein X1i-X1 i-X10, X2 i-X2 i-X10, yi-Y1 i-Y10, X10- Σ X1 i/n, X20- Σ X2 i/n, Y10- Σ Y1 i/n, and Y20- Σ Y2 i/n.
In practice, a certain amount of image test samples are provided, and the relevant data of the image test samples are counted and substituted into the above equations (10) to (12), so that the corresponding values of e0, e1 and e2 can be determined. Furthermore, the residual image coefficient corresponding to the target image can be obtained by combining the formula (1).
In implementation, for convenience of processing, all the residual image coefficients may be further normalized to a value between 0 and 1, so as to facilitate comparison of subsequent residual image coefficients.
In some embodiments, the range of the residual image is that the depth of the color level in the target image is greater than the number of pixels of a preset residual image color level; and/or the residual shadow color level is the color level mean value of the pixel of which the color level depth is greater than the preset residual shadow color level in the target image.
Illustratively, an electronic paper display device is classified into 16 gradations, which are # FF000000, # FF111111, # FF222222, # FF333333, # FF444444, # FF555555, # FF666666, # FF777777, # FF888888, # FF999999, # ffaaaaa, # ffbbbbbbbb, # ffccccc, # FFdddddd, # ffeeeee, respectively. In practice, the screen is mapped to obtain the color value for each pixel.
Further, the number of pixels of each color level may be counted, for example, in one embodiment, the # ffeeeee color level with the lightest seriousness is used as the preset afterimage color level, and it is statistically found that there are three afterimage color values in total, specifically: # FFeeef pixels 100, # FFeeff pixels 150, and # FFeeeff pixels 200.
The range of the residual shadow X1 is designated as 450, and the residual shadow color level is a weighted average of the pixels of the three colors, and further, the obtained residual shadow color level can be rounded up.
In some embodiments, the method further comprises:
obtaining an evaluation result aiming at the residual shadow in the target image;
and updating the preset coefficient threshold value and/or the preset color level threshold value according to the evaluation result.
In this embodiment, in order to improve the optimization effect, in this embodiment, the evaluation results in the using process of the user may be collected, and then the preset coefficient threshold and/or the preset tone threshold may be correspondingly adjusted to improve the refresh effect.
Illustratively, if the predetermined coefficient threshold is 0.3, the predetermined tone level threshold is # ffeeeee. At this point, if the afterimage exceeds the expected severity, but the display interface is not yet refreshed, the preset coefficient threshold may be lowered, illustratively to 0.2.
Illustratively, if the number of residual shadows is reduced, but the color level of the residual shadows is deeper, but the display interface is not refreshed, the preset color level threshold needs to be lowered.
For example, if the number of the residual shadows is large, but the color levels of the residual shadows are shallow, but the display interface is not refreshed, the preset coefficient threshold may be increased, and the preset color level threshold may be increased.
During implementation, the evaluation results of the residual shadows in the image can be continuously collected, and then the preset coefficient threshold and/or the preset color level threshold are adjusted according to the evaluation results so as to continuously optimize the residual shadow effect. The adjustment range of the preset coefficient threshold is 0-1, and the adjustment range of the preset color level threshold and the color level range of the electronic paper display device are preset.
As shown in fig. 2, in the technical scheme of this embodiment, a target image is obtained by screenshot in a current display interface, a residual image range and a residual image color level are calculated according to the target image, a residual image coefficient is further determined according to the residual image range and the residual image color level, if the residual image coefficient is greater than a preset coefficient threshold, a next interface is displayed by global refreshing, otherwise, a next interface is displayed by local refreshing. After entering the next interface, the above steps can be executed iteratively to realize interface refreshing.
As shown in fig. 3, an embodiment of the present invention further provides an electronic paper display device 300, including:
an image acquisition module 301, configured to acquire a target image displayed by the electronic paper display device;
a residual image coefficient determining module 302, configured to determine a residual image coefficient corresponding to the target image, where the residual image coefficient is determined according to a residual image range and a residual image color level of the target image, and the residual image range and the residual image color level are determined according to a color level of each pixel of the target image and a preset color level threshold;
a refresh module 303, configured to display a next image of the target image in a global refresh manner when the image sticking coefficient is greater than a preset coefficient threshold;
the refreshing module 303 is further configured to display a next image of the target image in a local refreshing manner when the afterimage coefficient is not greater than a preset coefficient threshold.
In some embodiments, the residual shadow coefficient determination module 302 comprises:
the coefficient acquisition submodule is used for respectively acquiring a first influence coefficient of the residual shadow range on the residual shadow effect, a second influence coefficient of the residual shadow color level on the residual shadow effect and an information residual coefficient, wherein the information residual coefficient is determined by the influence of factors except the residual shadow range and the residual shadow color level on the residual shadow effect;
and the calculating submodule is used for determining the ghosting coefficient of the target image according to the first influence coefficient, the second influence coefficient and the information residual coefficient.
In some embodiments, further comprising:
the fitting module is used for establishing a fitting equation for calculating the residual image coefficient, wherein the fitting equation comprises a first influence coefficient, a second influence coefficient and an information residual coefficient;
the predicted value calculating module is used for calculating the predicted value of the residual image coefficient of the image test sample according to the residual image range and the residual image color level of the image test sample by using the fitting equation;
the loss function establishing module is used for establishing a loss function according to the predicted value of the residual shadow coefficient of the image test sample and the marked value of the residual shadow coefficient of the image test sample;
and the influence coefficient determining module is used for determining the values of the first influence coefficient, the second influence coefficient and the information residual coefficient according to the existence condition of the extreme value of the loss function.
In some embodiments, further comprising:
the evaluation result acquisition module is used for acquiring an evaluation result aiming at the residual shadow in the target image;
and the threshold value updating module is used for updating the preset coefficient threshold value and/or the preset color level threshold value according to the evaluation result.
In some embodiments, the range of the residual shadow is the number of pixels in the target image with a depth of color level greater than the preset residual shadow color level; and/or
The residual shadow color level is the color level mean value of the pixels of which the color level depth is greater than the preset residual shadow color level in the target image.
The electronic paper display device 300 of this embodiment can implement the steps of the above-mentioned conference summary generation method embodiment, and can implement substantially the same technical effects, which are not described herein again.
The embodiment of the invention also provides the electronic equipment. Referring to fig. 4, an electronic device may include a processor 401, a memory 402, and a program 4021 stored in the memory 402 and operable on the processor 401.
When executed by the processor 401, the program 4021 may implement any steps of the method embodiments described above and achieve the same advantages, and thus, will not be described herein again.
Those skilled in the art will appreciate that all or part of the steps of the method according to the above embodiments may be implemented by hardware associated with program instructions, and the program may be stored in a readable medium.
An embodiment of the present invention further provides a readable storage medium, where a computer program is stored on the readable storage medium, and when the computer program is executed by a processor, any step in the method embodiment corresponding to fig. 1 may be implemented, and the same technical effect may be achieved, and in order to avoid repetition, details are not repeated here.
The storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It should be noted that the above division of each module is only a division of a logic function, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the determining module may be a processing element separately set up, or may be implemented by being integrated in a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and the function of the determining module is called and executed by a processing element of the apparatus. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the various modules, units, sub-units or sub-modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, when some of the above modules are implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor that can invoke the program code. As another example, these modules may be integrated together, implemented in the form of a system-on-a-chip (SOC).
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A display control method is applied to an electronic paper display device and is characterized by comprising the following steps:
acquiring a target image displayed by the electronic paper display device;
determining a residual shadow coefficient corresponding to the target image, wherein the residual shadow coefficient is determined according to a residual shadow range and a residual shadow color level of the target image, and the residual shadow range and the residual shadow color level are determined according to a color level of each pixel of the target image and a preset color level threshold;
displaying a next image of the target image in a global refreshing mode under the condition that the residual shadow coefficient is larger than a preset coefficient threshold;
and displaying a next image of the target image in a local refreshing mode under the condition that the afterimage coefficient is not larger than a preset coefficient threshold value.
2. The method of claim 1, wherein the determining the ghosting coefficients corresponding to the target image comprises:
respectively acquiring a first influence coefficient of the residual shadow range on the residual shadow effect, a second influence coefficient of the residual shadow color level on the residual shadow effect and an information residual coefficient, wherein the information residual coefficient is determined by the influence of factors except the residual shadow range and the residual shadow color level on the residual shadow effect;
and determining a residual image coefficient of the target image according to the first influence coefficient, the second influence coefficient and the information residual coefficient.
3. The method of claim 2, wherein prior to determining the ghosting coefficients corresponding to the target image, the method further comprises:
establishing a fitting equation for calculating a residual image coefficient, wherein the fitting equation comprises a first influence coefficient, a second influence coefficient and an information residual coefficient;
calculating a predicted value of a residual image coefficient of the image test sample according to the residual image range and the residual image color level of the image test sample by using the fitting equation;
establishing a loss function according to the predicted value of the residual shadow coefficient of the image test sample and the labeled value of the residual shadow coefficient of the image test sample;
and determining the values of the first influence coefficient, the second influence coefficient and the information residual coefficient according to the existence condition of the extreme value of the loss function.
4. The method of claim 3, wherein the method further comprises:
obtaining an evaluation result aiming at the residual shadow in the target image;
and updating the preset coefficient threshold value and/or the preset color level threshold value according to the evaluation result.
5. The method according to any one of claims 1 to 4, wherein the range of the residual image is the number of pixels in the target image having a depth of color level greater than the preset residual image color level; and/or
The residual shadow color level is the color level mean value of the pixels of which the color level depth is greater than the preset residual shadow color level in the target image.
6. An electronic paper display device, comprising:
the image acquisition module is used for acquiring a target image displayed by the electronic paper display device;
a residual image coefficient determining module, configured to determine a residual image coefficient corresponding to the target image, where the residual image coefficient is determined according to a residual image range and a residual image color level of the target image, and the residual image range and the residual image color level are determined according to a color level of each pixel of the target image and a preset color level threshold;
the refreshing module is used for displaying the next image of the target image in a global refreshing mode under the condition that the afterimage coefficient is larger than a preset coefficient threshold;
the refreshing module is further configured to display a next image of the target image in a local refreshing manner when the afterimage coefficient is not greater than a preset coefficient threshold.
7. The apparatus of claim 6, wherein the ghosting coefficient determination module comprises:
the coefficient acquisition submodule is used for respectively acquiring a first influence coefficient of the residual shadow range on the residual shadow effect, a second influence coefficient of the residual shadow color level on the residual shadow effect and an information residual coefficient, wherein the information residual coefficient is determined by the influence of factors except the residual shadow range and the residual shadow color level on the residual shadow effect;
and the calculating submodule is used for determining the ghosting coefficient of the target image according to the first influence coefficient, the second influence coefficient and the information residual coefficient.
8. The apparatus of claim 7, further comprising:
the fitting module is used for establishing a fitting equation for calculating the residual image coefficient, wherein the fitting equation comprises a first influence coefficient, a second influence coefficient and an information residual coefficient;
the predicted value calculating module is used for calculating the predicted value of the residual image coefficient of the image test sample according to the residual image range and the residual image color level of the image test sample by using the fitting equation;
the loss function establishing module is used for establishing a loss function according to the predicted value of the residual shadow coefficient of the image test sample and the marked value of the residual shadow coefficient of the image test sample;
and the influence coefficient determining module is used for determining the values of the first influence coefficient, the second influence coefficient and the information residual coefficient according to the existence condition of the extreme value of the loss function.
9. An electronic device, comprising: the electronic paper display screen comprises an electronic paper display screen, a memory, a processor and a program which is stored on the memory and can run on the processor; characterized in that the processor, for reading the program in the memory, implements the steps in the display control method according to any one of claims 1 to 5.
10. A readable storage medium storing a program, wherein the program, when executed by a processor, implements the steps in the display control method according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210593433.7A CN115083355B (en) | 2022-05-27 | 2022-05-27 | Display control method, electronic paper display device, electronic apparatus, and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210593433.7A CN115083355B (en) | 2022-05-27 | 2022-05-27 | Display control method, electronic paper display device, electronic apparatus, and readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115083355A true CN115083355A (en) | 2022-09-20 |
| CN115083355B CN115083355B (en) | 2023-03-24 |
Family
ID=83249368
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210593433.7A Active CN115083355B (en) | 2022-05-27 | 2022-05-27 | Display control method, electronic paper display device, electronic apparatus, and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115083355B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114613327A (en) * | 2022-03-10 | 2022-06-10 | 海信视像科技股份有限公司 | OLED display device and OLED display method |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013012201A (en) * | 2011-06-28 | 2013-01-17 | Kofukin Seimitsu Kogyo (Shenzhen) Yugenkoshi | Electronic book reader and page flipping control method thereof |
| CN103137073A (en) * | 2011-11-25 | 2013-06-05 | 上海盛轩网络科技有限公司 | Residual image eliminating method and system of electronic ink screen |
| CN103325332A (en) * | 2013-06-14 | 2013-09-25 | 北京小米科技有限责任公司 | Webpage refreshing method, device and equipment |
| KR20130143361A (en) * | 2012-06-21 | 2013-12-31 | 엘지디스플레이 주식회사 | Electrophoresis display device and method for driving the same |
| US20150084892A1 (en) * | 2013-09-24 | 2015-03-26 | Kabushiki Kaisha Toshiba | Control device, display device, control method and program product |
| JP2015064596A (en) * | 2014-11-18 | 2015-04-09 | セイコーエプソン株式会社 | Controller, electro-optical device, driving method of electro-optical device and electronic apparatus |
| US20160125813A1 (en) * | 2014-11-03 | 2016-05-05 | Samsung Electronics Co., Ltd. | Display apparatus and controlling method thereof |
| CN109272948A (en) * | 2018-11-30 | 2019-01-25 | 中山大学 | Electronic Paper driving adjustment method, device and computer equipment based on machine learning |
| CN111477183A (en) * | 2020-04-10 | 2020-07-31 | 掌阅科技股份有限公司 | Reader refresh method, computing device, and computer storage medium |
| CN111933085A (en) * | 2020-08-05 | 2020-11-13 | 深圳鑫想科技有限责任公司 | Page refreshing method and system for ink screen |
-
2022
- 2022-05-27 CN CN202210593433.7A patent/CN115083355B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013012201A (en) * | 2011-06-28 | 2013-01-17 | Kofukin Seimitsu Kogyo (Shenzhen) Yugenkoshi | Electronic book reader and page flipping control method thereof |
| CN103137073A (en) * | 2011-11-25 | 2013-06-05 | 上海盛轩网络科技有限公司 | Residual image eliminating method and system of electronic ink screen |
| KR20130143361A (en) * | 2012-06-21 | 2013-12-31 | 엘지디스플레이 주식회사 | Electrophoresis display device and method for driving the same |
| CN103325332A (en) * | 2013-06-14 | 2013-09-25 | 北京小米科技有限责任公司 | Webpage refreshing method, device and equipment |
| US20150084892A1 (en) * | 2013-09-24 | 2015-03-26 | Kabushiki Kaisha Toshiba | Control device, display device, control method and program product |
| US20160125813A1 (en) * | 2014-11-03 | 2016-05-05 | Samsung Electronics Co., Ltd. | Display apparatus and controlling method thereof |
| JP2015064596A (en) * | 2014-11-18 | 2015-04-09 | セイコーエプソン株式会社 | Controller, electro-optical device, driving method of electro-optical device and electronic apparatus |
| CN109272948A (en) * | 2018-11-30 | 2019-01-25 | 中山大学 | Electronic Paper driving adjustment method, device and computer equipment based on machine learning |
| CN111477183A (en) * | 2020-04-10 | 2020-07-31 | 掌阅科技股份有限公司 | Reader refresh method, computing device, and computer storage medium |
| CN111933085A (en) * | 2020-08-05 | 2020-11-13 | 深圳鑫想科技有限责任公司 | Page refreshing method and system for ink screen |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114613327A (en) * | 2022-03-10 | 2022-06-10 | 海信视像科技股份有限公司 | OLED display device and OLED display method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115083355B (en) | 2023-03-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110046673B (en) | No-reference tone mapping image quality evaluation method based on multi-feature fusion | |
| WO2020238560A1 (en) | Video target tracking method and apparatus, computer device and storage medium | |
| CN111833237B (en) | Image registration method based on convolutional neural network and local homography transformation | |
| CN115083355B (en) | Display control method, electronic paper display device, electronic apparatus, and readable storage medium | |
| CN112308797A (en) | Corner detection method and device, electronic equipment and readable storage medium | |
| CN111476852A (en) | Reader refresh method, computing device, and computer storage medium | |
| Liu et al. | Enhanced image no‐reference quality assessment based on colour space distribution | |
| Lin et al. | CURA: A framework for quality-retaining power saving on mobile OLED displays | |
| CN106910207B (en) | Method and device for identifying local area of image and terminal equipment | |
| CN111369435A (en) | Color image depth up-sampling method and system based on self-adaptive stable model | |
| CN112116596A (en) | Training method of image segmentation model, image segmentation method, medium, and terminal | |
| CN110458867A (en) | A kind of method for tracking target based on attention recirculating network | |
| CN112149745B (en) | Method, device, equipment and storage medium for determining difficult example sample | |
| CN116012233A (en) | Training method of machine learning model and related products | |
| Zhou et al. | An improved algorithm using weighted guided coefficient and union self‐adaptive image enhancement for single image haze removal | |
| CN110489584B (en) | Image classification method and system based on dense connection MobileNet model | |
| CN111914850B (en) | Picture feature extraction method, device, server and medium | |
| CN113391779A (en) | Parameter adjusting method, device and equipment for paper-like screen | |
| CN113038055A (en) | Image processing method and device and electronic equipment | |
| Yang et al. | An end‐to‐end perceptual enhancement method for UHD portrait images | |
| CN112712571A (en) | Video-based object plane mapping method, device and equipment | |
| Lu et al. | Gradient magnitude similarity for tone-mapped image quality assessment | |
| CN111083468A (en) | Short video quality evaluation method and system based on image gradient | |
| Farzana et al. | Technically improved image and video enhancement using adaptive gamma correction with weighing distribution based contrast enhancement techniques | |
| Vonikakis et al. | A comparison framework for the evaluation of illumination compensation algorithms |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |