CN118037584B - Overdrive-based image boundary smoothing method, device and medium - Google Patents
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Abstract
The invention discloses an overdrive-based image boundary smoothing method, device and medium, comprising the following steps: acquiring first picture information of a current frame image and second picture information of a previous frame image; based on the picture information of the current frame image and the previous frame image, adopting a block cutting algorithm to respectively carry out block processing on the picture information of the current frame image and the previous frame image so as to obtain a plurality of block information; calculating an average measurement value of each block according to the block information; comparing and obtaining the average measurement value difference of the corresponding blocks of the current frame image and the previous frame image; based on the difference of the block information and the average measurement value, accelerating the switching of the picture display through overdrive; the image boundaries are smoothed using a bilinear interpolation algorithm based on the average metric value for each block. The scheme of the invention improves the analysis and storage efficiency while guaranteeing the quality, and has strong economy; optimizing visual experience through boundary smoothing; scientific management of power consumption is also realized.
Description
Technical Field
The present invention relates to the field of image processing, and in particular, to an overdrive-based image boundary smoothing method, apparatus, and medium.
Background
The overdrive technology (overdrive) is widely applied to display panels, whether an OLED (Organic Light-Emitting Diode) display panel or an LCD (Liquid CRYSTAL DISPLAY) display panel, and when a display image changes, a certain reaction time is required for switching and adjusting the pixel points, and the process is often accompanied with a ghost or smear phenomenon, and the overdrive technology can shorten the reaction time and alleviate the smear.
The traditional overdrive technology needs to refer to each pixel value, and the huge analysis amount of the overdrive technology occupies a large amount of memory and computational power resources, so that the overdrive technology is low in efficiency and poor in economy;
However, the overdrive technology realized only based on the blocks or the rows often has the problem that boundary lines between the rows or the blocks are too obvious, and the viewing experience is seriously affected;
furthermore, conventional overdrive techniques are often overdriven, which is detrimental to scientific management of power supply and power consumption.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art. For this purpose, the invention proposes an overdrive-based image boundary smoothing method.
The technical scheme provided by the invention is as follows: an overdrive-based image boundary smoothing method is provided, which comprises the following steps: s1, acquiring first picture information of a current frame image and second picture information of a previous frame image; the first picture information and the second picture information comprise brightness information and RGB information of pixel points; s2, performing blocking processing on the first picture information and the second picture information by adopting a block cutting algorithm to obtain a plurality of first blocks of the first picture information, block information of each first block, a plurality of second blocks of the second picture information and block information of each second block, wherein the blocking processing is used for reducing storage capacity and improving analysis storage efficiency; s3, calculating first average measurement values of a plurality of first blocks and second average measurement values of a plurality of second blocks according to the block information of each first block and the block information of each second block; s4, calculating average measurement value differences of a plurality of first blocks and a plurality of second blocks according to the first average measurement value and the second average measurement value; s5, based on the block information of each first block, the block information of each second block and the average measurement value difference, accelerating the switching display of the previous frame image to the current frame image through overdrive; and S6, based on the first average measurement value and the second average measurement value, smoothing the boundary of the first block by adopting a bilinear interpolation algorithm, and pasting the image boundary details by utilizing the smoothing function of the bilinear interpolation algorithm so as to realize the effect that the display of the boundary is naturally unobtrusive.
Preferably, step S4 further comprises the following steps: s40, judging the relative motion state of the current frame image and the previous frame image based on the average measurement value difference; and S41, adjusting the call intensity of overdrive and smoothing processing according to the feedback of the relative motion state, and realizing scientific management of power supply and power consumption, wherein the call intensity is used for avoiding invalid drive and resource waste.
Preferably, step S2 specifically includes: carrying out 2×2 equipartition on the current frame image and the previous frame image to generate 4 first blocks and 4 second blocks; and quantizing and encoding each first block and each second block, and correspondingly generating block information of the first block and block information of the second block so as to facilitate computer processing.
Preferably, the first blocks and the second blocks are quantized and encoded, and the block information corresponding to the first blocks and the block information corresponding to the second blocks include: according to preset parameters, corresponding to the first picture information and the second picture information, calculating brightness components and RGB components of pixel points in the first block and the second block so as to facilitate computer processing.
Preferably, step S40 specifically includes: gradient preset multi-level average measurement value difference threshold; determining the relative motion state of the current frame image and the previous frame image according to an average measurement value difference threshold value reached by the average measurement value difference;
Preferably, the relative motion state of the current frame image and the previous frame image; comprising the following steps: stationary, low-speed motion, and high-speed motion.
Preferably, step S41 specifically includes: and presetting the calling intensity of overdrive and smoothing processing corresponding to the relative motion state of the current frame image and the previous frame image.
Preferably, step S5 specifically includes: if the average measurement value difference is less than 2%, judging that the relative motion state of the current frame image and the previous frame image is static, and setting overdrive standby; if the difference of the average measurement values is more than or equal to 2% and less than or equal to 7%, judging that the relative motion state of the current frame image and the previous frame image is low-speed motion, and setting overdrive low-power-consumption operation; if the difference of the average measurement values is larger than 7%, judging that the relative motion state of the current frame image and the previous frame image is high-speed motion, and setting overdrive high-power-consumption operation for avoiding invalid driving and resource waste and realizing scientific management of power supply and power consumption.
Preferably, the specific formula of the bilinear interpolation algorithm in step S6 includes:
out_data=data_lt*(dist_x-dist_w)*(dist_y-dist_H)+data_rt*(dist_w)*(dist_y-dist_H)+data_lb*(dist_x-dist_w)*(dist_H)+data_rb*(dist_w)*(dist_H)
Wherein out_data is a data value finally output, dist_x and dist_y respectively represent horizontal and vertical distances from a target point to an upper left corner data point, dist_w and dist_h respectively represent horizontal and vertical distances between two adjacent data points, and data_lt, data_rt, data_lb and data_rb in the formula respectively represent numerical values of four upper left, upper right, lower left and lower right data points.
Another aspect of the present invention proposes a display device including: a memory for storing a program; and the processor is used for executing a program and realizing the overdrive-based image boundary smoothing method.
In a further aspect the invention proposes a medium storing computer instructions for causing a computer to perform an overdrive based image boundary smoothing method as described above.
The beneficial effects of the invention are as follows: according to the overdrive-based image boundary smoothing method, device and medium, through blocking processing, the storage capacity is reduced, the analysis storage efficiency is improved while the quality is ensured, and the economy is strong; by carrying out smoothing treatment on the boundary of the image block, the display of the boundary is naturally unobtrusive, and the visual experience is optimized; the image motion state is identified to feed back and adjust the overdrive and smooth processing calling intensity, so that the scientific management of power supply and power consumption is realized, and invalid driving and resource waste are avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of an overdrive-based image boundary smoothing method of the present invention;
FIG. 2 is a further flowchart of an overdrive-based image boundary smoothing method of the present invention;
FIG. 3 is a logic flow diagram of step S5 of an overdrive-based image boundary smoothing method of the present invention;
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described by means of implementation examples with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 to 3, a preferred embodiment of the present invention provides an overdrive-based image boundary smoothing method, comprising the steps of: s1, acquiring first picture information of a current frame image and second picture information of a previous frame image; the first picture information and the second picture information comprise brightness information and RGB information of pixel points; s2, performing blocking processing on the first picture information and the second picture information by adopting a block cutting algorithm to obtain a plurality of first blocks of the first picture information, block information of each first block, a plurality of second blocks of the second picture information and block information of each second block, wherein the blocking processing is similar to feature extraction or compression processing and is used for reducing storage capacity and improving analysis storage efficiency; the block cutting algorithm can adopt some common methods, such as blocking processing based on similarity of pixel values, motion information and the like, determine the size and shape of a block, select square blocks with fixed sizes, obtain a plurality of block information by using some algorithms, such as uniform division, block matching and the like, and dynamically adjust the size and shape of the block according to different block characteristics. And extracting the characteristics of the obtained block information, and calculating the characteristics of average pixel value, color histogram, vector, gradient and the like of each block.
In a preferred embodiment, step S2 specifically includes: carrying out 2×2 equipartition on the current frame image and the previous frame image to generate 4 first blocks and 4 second blocks; and quantizing and encoding each first block and each second block, and correspondingly generating block information of the first block and block information of the second block so as to facilitate computer processing. In the preferred embodiment of the present invention, 2×2 partitioning is performed, and equally partitioning such as 2×4,4×4, 1×8, 1×4, etc. may be performed similarly.
In a preferred embodiment, each of the first block and each of the second blocks is quantized and encoded, and the block information corresponding to the first block and the block information corresponding to the second block are generated specifically includes: according to preset parameters, corresponding to the first picture information and the second picture information, calculating brightness components and RGB components of pixel points in the first block and the second block so as to facilitate computer processing. The preset parameters, the brightness information and the corresponding relation between the preset parameters and the RGB information in the embodiment of the invention can be automatically adjusted and set according to actual needs.
S3, calculating first average measurement values of a plurality of first blocks and second average measurement values of a plurality of second blocks according to the block information of each first block and the block information of each second block; the average metric value reflects the overall pixel value level of the corresponding block;
S4, calculating average measurement value differences of a plurality of first blocks and a plurality of second blocks according to the first average measurement value and the second average measurement value;
In a preferred embodiment, step S4 is followed by the further step of: s40, judging the relative motion state of the current frame image and the previous frame image based on the average measurement value difference;
In a preferred embodiment, step S40 specifically includes: gradient preset multi-level average measurement value difference threshold; determining the relative motion state of the current frame image and the previous frame image according to an average measurement value difference threshold value reached by the average measurement value difference; the invention relates to gradient division of the current motion state of an image and definition of corresponding state types, and the invention can be adjusted and preset according to actual needs.
And S41, adjusting the call intensity of overdrive and smoothing processing according to the feedback of the relative motion state, and realizing scientific management of power supply and power consumption, wherein the call intensity is used for avoiding invalid drive and resource waste.
In a preferred embodiment, the relative motion state of the current frame image and the previous frame image; comprising the following steps: stationary, low-speed motion, and high-speed motion.
In a preferred embodiment, step S41 specifically includes: presetting the calling intensity of overdrive and smoothing processing corresponding to the relative motion state of the current frame image and the previous frame image, and standing for no call; the low-speed movement adopts medium-intensity calling; the high-speed movement adopts high-intensity calling; the method is used for avoiding invalid driving and resource waste and realizing scientific management of power supply and power consumption.
S5, based on the block information of each first block, the block information of each second block and the average measurement value difference, the display of the previous frame image to the current frame image is switched through overdrive acceleration so as to improve the picture fluency;
In a preferred embodiment, step S5 specifically includes: if the average measurement value difference is less than 2%, judging that the relative motion state of the current frame image and the previous frame image is static, and setting overdrive standby; if the difference of the average measurement values is more than or equal to 2% and less than or equal to 7%, judging that the relative motion state of the current frame image and the previous frame image is low-speed motion, and setting overdrive low-power-consumption operation; if the difference of the average measurement values is larger than 7%, judging that the relative motion state of the current frame image and the previous frame image is high-speed motion, and setting overdrive high-power-consumption operation for avoiding invalid driving and resource waste and realizing scientific management of power supply and power consumption. Regarding the division of the average measurement value difference value range and the definition of the corresponding types, the invention can be adjusted and preset according to actual needs.
In general, a bilinear interpolation algorithm can implement a boundary smoothing process of an image by performing weighted average on several pixel points around a pixel point. The specific process comprises the following steps: determining boundary pixel points: first, the positions of the image boundary pixels that need to be smoothed are determined. Determining an average metric value for each block: for each boundary pixel point needing smoothing, determining the average measurement value of the surrounding blocks. This can be obtained by weighted averaging of the gray or color values of surrounding pixels. Calculating bilinear interpolation: a bilinear interpolation algorithm is used to calculate new values for boundary pixels that need to be smoothed. The bilinear interpolation algorithm obtains a new pixel value by weighted-averaging the average of four surrounding pixels based on the average metric value of the surrounding block. Updating the image: and updating the calculated new pixel value into the image to finish the boundary smoothing process. The image boundary is smoothed by adopting bilinear interpolation algorithm, so that the change of the block image boundary is smoother and more natural, the occurrence of noise points and saw teeth is reduced, and the quality and the attractiveness of the image are improved.
And S6, based on the first average measurement value and the second average measurement value, smoothing the boundary of the first block by adopting a bilinear interpolation algorithm, and pasting the details of the boundary of the image block by utilizing the smoothing function of the bilinear interpolation algorithm, so as to realize the effect that the display of the boundary is natural and unobtrusive, and improve the smoothness of the image picture.
In a preferred embodiment, the bilinear interpolation algorithm in step S6 comprises the following specific formulas:
out_data=data_lt*(dist_x-dist_w)*(dist_y-dist_H)+data_rt*(dist_w)*(dist_y-dist_H)+data_lb*(dist_x-dist_w)*(dist_H)+data_rb*(dist_w)*(dist_H)
Wherein out_data is a data value finally output, dist_x and dist_y respectively represent horizontal and vertical distances from a target point to an upper left corner data point, dist_w and dist_h respectively represent horizontal and vertical distances between two adjacent data points, and data_lt, data_rt, data_lb and data_rb in the formula respectively represent numerical values of four upper left, upper right, lower left and lower right data points.
Specifically, the first term in the formula represents the value of the target point calculated from the distance weights of the four points of the upper left data point, the upper right data point, the lower left data point and the lower right data point, respectively, (dist_x-dist_w) (dist_y-dist_h), (dist_x-dist_w) (dist_h) and (dist_w) (dist_h). By means of this distance weighting, the value of the target point can be estimated more accurately.
Another preferred embodiment of the present invention proposes a display device including: a memory for storing a program; and the processor is used for executing a program and realizing the overdrive-based image boundary smoothing method. In this embodiment, the processor and the memory may be connected by a bus or other means. The memory may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, a hard disk, or a solid state disk. The processor may be a general-purpose processor, such as a central processing unit, a digital signal processor, an application specific integrated circuit, or one or more integrated circuits configured to implement embodiments of the present invention.
A further preferred embodiment of the present invention is directed to a medium storing computer instructions for causing a computer to perform an overdrive-based image boundary smoothing method as described above.
According to the overdrive-based image boundary smoothing method, device and medium, through blocking processing, the storage capacity is reduced, the analysis storage efficiency is improved while the quality is ensured, and the economy is strong; by carrying out smoothing treatment on the image boundary, the display of the boundary is naturally unobtrusive, and the visual impression experience is optimized; the image motion state is identified to feed back and adjust the overdrive and smooth processing calling intensity, so that the scientific management of power supply and power consumption is realized, and invalid driving and resource waste are avoided.
In the description of the present invention, the meaning of a number is one or more, the meaning of a number is two or more, and greater than, less than, exceeding, etc. are understood to exclude the present number, and the meaning of a number is understood to include the present number. The description of the first and second is for the purpose of distinguishing between technical features only and should not be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
In the description of the present invention, unless explicitly defined otherwise, terms such as arrangement and the like should be construed broadly, and those skilled in the art can reasonably determine the specific meaning of the terms in the present invention in combination with the specific contents of the technical scheme.
In the description of the present invention, a description of the terms "one embodiment," "some embodiments," "an exemplary embodiment," "an example," "a particular example," or "some examples," etc., means that a particular feature or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The integrated units in the present invention may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as stand alone products. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in whole or in part in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory RAM), a magnetic disk, or an optical disk, etc., which can store program codes.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (6)
1. An overdrive-based image boundary smoothing method, comprising the steps of:
s1, acquiring first picture information of a current frame image and second picture information of a previous frame image; the first picture information and the second picture information comprise brightness information and RGB information of pixel points;
s2, performing block processing on the first picture information and the second picture information by adopting a block cutting algorithm to obtain a plurality of first blocks of the first picture information, block information of each first block, a plurality of second blocks of the second picture information and block information of each second block;
S3, calculating first average measurement values of the first blocks and second average measurement values of the second blocks according to the block information of each first block and the block information of each second block; wherein the average metric value reflects the overall pixel value level of the corresponding block;
S4, calculating average measurement value differences of the first blocks and the second blocks according to the first average measurement value and the second average measurement value;
S5, accelerating the switching display of the previous frame image to the current frame image through overdrive based on the block information of each first block, the block information of each second block and the average measurement value difference;
s6, smoothing the first block boundary by adopting a bilinear interpolation algorithm based on the first average measurement value and the second average measurement value;
The step S4 further comprises the following steps:
S40, judging the relative motion state of the current frame image and the previous frame image based on the average measurement value difference; the step S40 specifically includes: gradient preset multi-level average measurement value difference threshold; determining the relative motion state of the current frame image and the previous frame image according to the average measurement value difference threshold value reached by the average measurement value difference; the relative motion state of the current frame image and the previous frame image comprises: stationary, low-speed motion and high-speed motion;
S41, adjusting the calling intensity of the overdrive and the smoothing according to the relative motion state feedback; the step S41 specifically includes: presetting the calling intensity of overdrive and smoothing processing corresponding to the relative motion state of the current frame image and the previous frame image; wherein, the static call is not performed, the low-speed movement adopts the medium-intensity call, and the high-speed movement adopts the high-intensity call;
the step S5 specifically comprises the following steps:
if the average measurement value difference is smaller than 2%, judging that the relative motion state of the current frame image and the previous frame image is static, and setting overdrive standby;
If the difference of the average measurement values is more than or equal to 2% and less than or equal to 7%, judging that the relative motion state of the current frame image and the previous frame image is low-speed motion, and setting overdrive low-power-consumption operation;
and if the average measurement value difference is larger than 7%, judging that the relative motion state of the current frame image and the previous frame image is high-speed motion, and setting overdrive high-power-consumption operation.
2. The overdrive-based image boundary smoothing method according to claim 1, wherein the step S2 specifically includes:
Carrying out 2×2 equipartition blocks on the current frame image and the previous frame image to generate 4 first blocks and 4 second blocks;
And quantizing and encoding each first block and each second block, and correspondingly generating block information of the first block and block information of the second block.
3. The overdrive-based image boundary smoothing method according to claim 2, wherein the quantizing and encoding each of the first block and each of the second block, and correspondingly generating the block information of the first block and the block information of the second block specifically includes:
And calculating the brightness components and RGB components of the pixel points in the first block and the second block according to the preset parameters and corresponding to the first picture information and the second picture information.
4. The overdrive-based image boundary smoothing method according to claim 1, wherein the bilinear interpolation algorithm in step S6 specifically comprises:
out_data=data_lt*(dist_x-dist_w)*(dist_y-dist_H)+data_rt*(dist_w)*(dist_y-dist_H)+data_lb*(dist_x-dist_w)*(dist_H)+data_rb*(dist_w)*(dist_H)
Wherein out_data is a data value finally output, dist_x and dist_y respectively represent horizontal and vertical distances from a target point to an upper left corner data point, dist_w and dist_h respectively represent horizontal and vertical distances between two adjacent data points, and data_lt, data_rt, data_lb and data_rb in the formula respectively represent numerical values of four upper left, upper right, lower left and lower right data points.
5. A display device, comprising:
A memory for storing a program;
A processor for executing a program to implement the overdrive-based image boundary smoothing method as claimed in any one of claims 1-4.
6. A medium storing computer instructions for causing a computer to perform the overdrive-based image boundary smoothing method according to any one of claims 1-4.
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