CN111225216A - Compression method, device and system for display compensation gauge and display - Google Patents

Compression method, device and system for display compensation gauge and display Download PDF

Info

Publication number
CN111225216A
CN111225216A CN202010024800.2A CN202010024800A CN111225216A CN 111225216 A CN111225216 A CN 111225216A CN 202010024800 A CN202010024800 A CN 202010024800A CN 111225216 A CN111225216 A CN 111225216A
Authority
CN
China
Prior art keywords
coefficient
compensation
scaled
display
compressed
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.)
Pending
Application number
CN202010024800.2A
Other languages
Chinese (zh)
Inventor
程琳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
TCL China Star Optoelectronics Technology Co Ltd
Original Assignee
TCL China Star Optoelectronics Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by TCL China Star Optoelectronics Technology Co Ltd filed Critical TCL China Star Optoelectronics Technology Co Ltd
Priority to CN202010024800.2A priority Critical patent/CN111225216A/en
Publication of CN111225216A publication Critical patent/CN111225216A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/60Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
    • H04N19/625Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using discrete cosine transform [DCT]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/102Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H04N19/124Quantisation
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/102Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H04N19/13Adaptive entropy coding, e.g. adaptive variable length coding [AVLC] or context adaptive binary arithmetic coding [CABAC]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/169Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
    • H04N19/17Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
    • H04N19/176Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/42Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Discrete Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)

Abstract

The application discloses a compression method, a device and a system for compensating gauge of a display and the display, wherein the method comprises the following steps: performing DCT (discrete cosine transformation) conversion of a preset number of compensation blocks on a compensation table to be compressed to obtain a DC (direct current) coefficient of each compensation block and an AC (alternating current) coefficient of each compensation block; carrying out data scaling processing on the DC coefficient of each compensation block based on a larger first scaling value to obtain each scaled DC coefficient; carrying out data scaling processing on the AC coefficient of each compensation block based on a smaller second scaling value to obtain each scaled AC coefficient; and coding each scaled DC coefficient and each scaled AC coefficient to obtain a compressed compensation table, thereby realizing the compression of the compensation table. According to the method, the DC coefficient and the AC coefficient are adopted to obtain different scaling ranges, and coding processing is combined, so that the compression rate of the display compensation table is improved under the condition of visual loss, the occupation of memory space is reduced, the hardware resource of the system is saved, the cost is reduced, and the time consumed by transmitting and burning data is reduced.

Description

Compression method, device and system for display compensation gauge and display
Technical Field
The application relates to the technical field of displays, in particular to a compression method, a compression device and a compression system for compensating gauge of a display and the display.
Background
In order to eliminate Mura of the display, compensation tables are usually used to store compensation information of each pixel for compensation elimination. Wherein Mura refers to color difference or brightness unevenness recognizable by human eyes on the display panel. When the display shows images, the driving board searches the compensation table, adjusts signals, adjusts the signals of the panel in the dark area to be high, and adjusts the signals of the panel in the bright area to be low, so that the uniform display effect is presented. Usually, the compensation table occupies a large amount of system storage resources, has high requirements on a hardware system, and consumes time in the process of transmitting and burning data on a production line.
In the implementation process, the inventor finds that at least the following problems exist in the conventional technology: the traditional display compensation table occupies a large amount of system storage resources, has high requirements on a hardware system, and consumes time in the processes of transmitting and burning data on a production line.
Disclosure of Invention
Based on this, it is necessary for the conventional display compensation table to occupy a large amount of system memory resources, which has a high requirement on a hardware system, and the process of transmitting and burning data on a production line consumes time, and a method, a device, a system and a display for compressing the display compensation table are provided.
In order to achieve the above object, an embodiment of the present invention provides a display compensation gauge compression method, including the steps of:
performing DCT (discrete cosine transformation) conversion of a preset number of compensation blocks on a compensation table to be compressed to obtain a DC (direct current) coefficient of each compensation block and an AC (alternating current) coefficient of each compensation block;
carrying out data scaling processing on the DC coefficient of each compensation block based on the first scaling value to obtain each scaled DC coefficient; carrying out data scaling processing on the AC coefficient of each compensation block based on the second scaling value to obtain each scaled AC coefficient; the first scaling value is greater than the second scaling value;
and coding each scaled DC coefficient and each scaled AC coefficient to obtain a compressed compensation table.
In one embodiment, the step of encoding each scaled DC coefficient and each scaled AC coefficient to obtain the compressed compensation table comprises:
quantizing each scaled AC coefficient to obtain each quantized AC coefficient;
the step of encoding each scaled DC coefficient and each scaled AC coefficient to obtain a compressed compensation table includes:
and coding each scaled DC coefficient and each quantized AC coefficient to obtain a compressed compensation table.
In one embodiment, the step of encoding each scaled DC coefficient and each scaled AC coefficient to obtain the compressed compensation table includes:
and carrying out binary arithmetic coding processing on each scaled DC coefficient and each scaled AC coefficient to obtain a compressed compensation table.
In one embodiment, the step of performing data scaling processing on the AC coefficient of each compensation block based on the second scaling value to obtain each scaled AC coefficient includes:
performing Z-type scanning sequencing on the AC coefficients of the compensation blocks to obtain the sequenced AC coefficients;
and performing data scaling processing on the AC coefficient of each compensation block based on the second scaling value to obtain each scaled AC coefficient, wherein the step of obtaining each scaled AC coefficient comprises the following steps:
and carrying out data scaling processing on each sorted AC coefficient based on the second scaling value to obtain each scaled AC coefficient.
In one embodiment, the step of performing DCT transformation on a predetermined number of compensation blocks on the compensation table to be compressed to obtain the DC coefficient of each compensation block and the AC coefficient of each compensation block includes:
dividing the compensation table to be compressed based on the preset number to obtain each compensation block;
and performing DCT (discrete cosine transformation) on each compensation block to obtain the DC coefficient of each compensation block and the AC coefficient of each compensation block.
In one embodiment, in the step of obtaining each scaled DC coefficient by performing data scaling processing on the DC coefficient of each compensation block based on the first scaling value, the scaled DC coefficient is obtained by the following formula:
Figure BDA0002362062340000031
and in the step of obtaining the scaled AC coefficients by performing data scaling processing on the AC coefficients of the compensation blocks based on the second scaling value, obtaining a scaled AC system by the following formula:
Figure BDA0002362062340000032
wherein, scale1 is a first scaling value, Y1 is a scaled DC coefficient, X1 is a DC coefficient, and X1_ MAX is a maximum DC coefficient in the compensation block; scale2 is the second scaling value, Y2 is the scaled AC coefficient, X2 is the AC coefficient, and X2_ MAX is the largest AC coefficient in the compensation block.
In one embodiment, the DC coefficient is a direct current component and a low frequency component corresponding to the compensation table to be compressed;
the AC coefficients are an alternating current component and a high frequency component corresponding to the compensation table to be compressed.
In another aspect, an embodiment of the present invention further provides a display compensation gauge compression apparatus, including:
the DCT transformation unit is used for carrying out DCT transformation on a preset number of compensation blocks on the compensation table to be compressed to obtain a DC coefficient of each compensation block and an AC coefficient of each compensation block;
the data scaling processing unit is used for carrying out data scaling processing on the DC coefficient of each compensation block based on the first scaling value to obtain each scaled DC coefficient; carrying out data scaling processing on the AC coefficient of each compensation block based on the second scaling value to obtain each scaled AC coefficient; the first scaling value is greater than the second scaling value;
and the coding compression unit is used for coding each scaled DC coefficient and each scaled AC coefficient to obtain a compressed compensation table.
In another aspect, an embodiment of the present invention further provides a display compensation gauge compression system, including a controller for connecting a display panel; the controller is configured to perform the steps of any of the above display compensated gauge compression methods.
In another aspect, an embodiment of the present invention further provides a display, including a display panel and the display compensation gauge compression system as described above;
the display compensation meter compression system is connected with the display panel.
One of the above technical solutions has the following advantages and beneficial effects:
in each embodiment of the above compression method for the display compensation meter, DCT transformation of a preset number of compensation blocks is performed on a compensation table to be compressed to obtain a DC coefficient of each compensation block and an AC coefficient of each compensation block; carrying out data scaling processing on the DC coefficient of each compensation block based on the first scaling value to obtain each scaled DC coefficient; carrying out data scaling processing on the AC coefficient of each compensation block based on the second scaling value to obtain each scaled AC coefficient; the first scaling value is greater than the second scaling value; and coding each scaled DC coefficient and each scaled AC coefficient to obtain a compressed compensation table, thereby realizing the compression of the compensation table. According to the method, the DC coefficient and the AC coefficient are adopted to obtain different scaling ranges, and coding processing is combined, so that the compression rate of the display compensation table is improved under the condition of visual loss, the occupation of memory space is reduced, the hardware resource of the system is saved, the cost is reduced, and the time consumed by transmitting and burning data is reduced.
Drawings
The present application will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a diagram of an exemplary embodiment of a display application environment for a method of compensating for gauge compression;
FIG. 2 is a schematic diagram of a first flow path of a method of compensating for gauge compression of a display in accordance with an embodiment;
FIG. 3 is a schematic diagram of a second flow path of a display compensated gauge compression method in accordance with an embodiment;
FIG. 4 is a schematic diagram of a third flow path of a display compensated gauge compression process in accordance with an embodiment;
FIG. 5 is a fourth flowchart illustrating a method for compressing the compensation table of the display device according to one embodiment;
FIG. 6 is a schematic block diagram of a display compensated gauge compression device in accordance with one embodiment;
FIG. 7 is a schematic diagram of an embodiment of a display compensation table compression system;
FIG. 8 is a schematic diagram of an embodiment of a display.
Detailed Description
For a more clear understanding of the technical features, objects, and effects of the present application, specific embodiments of the present application will now be described in detail with reference to the accompanying drawings.
The display compensation gauge compression method provided by the application can be applied to the application environment as shown in FIG. 1. The processor 102 is connected to the display panel 104. The processor 102 may be, but not limited to, a single chip or an ARM (advanced RISC Machine, RISC microprocessor), and the display panel 104 may be implemented by an independent display panel or a display panel combination composed of a plurality of display panels. The display panel may be, but is not limited to, a liquid crystal display panel.
In one embodiment, as shown in FIG. 2, a method for compensating for gauge compression of a display is provided, which is illustrated by way of example as applied to the processor 102 of FIG. 1, and includes the steps of:
step S210, performing DCT transformation of a preset number of compensation blocks on the compensation table to be compressed to obtain the DC coefficient of each compensation block and the AC coefficient of each compensation block.
The compensation table can be used for storing compensation information of each pixel of the display. In the compensation table, each pixel corresponds to a set of compensation information, each set of compensation information containing one or more compensation data. The physical meaning of the compensation data depends on the algorithm, usually the adjustment value for a particular gray level, and there is also an algorithm that sets it to the voltage value to be adjusted. Note that the size of the compensation table is equal to the number of panel pixels multiplied by the size of each set of compensation information. The compensation block is divided by a compensation table. For example, each pixel in the compensation table to be compressed may be divided into a preset number of compensation blocks; each compensation block may include a plurality of pixels arranged in an array.
A DCT (Discrete Cosine Transform) Transform can be used to compress data or an image, and can convert a signal in a spatial domain to a frequency domain. DC coefficients refer to DCT transforms that transform the data domain from the time (space) domain to the frequency domain, the transform coefficients being a function of two-dimensional frequency domain variables u and v on the plane of the frequency domain, corresponding to the coefficients with u equal to 0 and v equal to 0, called the DC components. The AC coefficient refers to the remaining system excluding the coefficient where u is 0 and v is 0, and may be referred to as an alternating current component. For example, if the compensation block performs DCT transform to obtain 64 coefficients, the coefficient corresponding to the two-dimensional frequency domain variable u being 0 and v being 0 is DC system; the remaining 63 coefficients are AC coefficients.
Specifically, the compensation table to be compressed is divided into a preset number of compensation blocks, and DCT transformation is performed on each compensation block, so as to obtain a DC coefficient of each compensation block and an AC coefficient of each compensation block.
Step S220, carrying out data scaling processing on the DC coefficient of each compensation block based on the first scaling value to obtain each scaled DC coefficient; carrying out data scaling processing on the AC coefficient of each compensation block based on the second scaling value to obtain each scaled AC coefficient; the first scaling value is greater than the second scaling value.
Wherein the first scaling value may be used to indicate a scaling range of the DC coefficient. The second scaling value may be used to indicate a scaling range of the AC coefficient. The data scaling process may implement a numerical scaling of the DC coefficient and the AC coefficient.
Specifically, the DC coefficients of the compensation blocks are sequentially subjected to data scaling processing by using a first scaling value (where the first scaling value is greater than a second scaling value), so as to obtain scaled DC coefficients; and sequentially carrying out data scaling processing on the AC coefficients of the compensation blocks by adopting second scaling values so as to obtain the scaled AC coefficients.
Furthermore, considering that the DC coefficient represents the main information of the image, the DC coefficient of each compensation block is subjected to numerical scaling by adopting a larger scaling value, so that each scaled DC coefficient is obtained, and the loss of image precision can be avoided; considering that the AC coefficient represents image high-frequency information and is not easy to be perceived by human eyes, the AC coefficient of each compensation block is subjected to numerical scaling processing by adopting a smaller scaling value, and then each scaled AC coefficient is obtained. Thereby being capable of ensuring the visual loss.
And step S230, coding each scaled DC coefficient and each scaled AC coefficient to obtain a compressed compensation table.
The coding process can be used for compressing the processed compensation table to be compressed.
Specifically, each scaled DC coefficient and each scaled AC coefficient are encoded based on an encoding algorithm, so as to obtain a compressed compensation table, thereby implementing compression of the compensation table to be compressed, further improving the compression rate, reducing the occupation of the memory space, and saving hardware resources.
In the embodiment of the compression method for the display compensation meter, DCT transformation of a preset number of compensation blocks is performed on a compensation table to be compressed to obtain a DC coefficient of each compensation block and an AC coefficient of each compensation block; carrying out data scaling processing on the DC coefficient of each compensation block based on the first scaling value to obtain each scaled DC coefficient; carrying out data scaling processing on the AC coefficient of each compensation block based on the second scaling value to obtain each scaled AC coefficient; the first scaling value is greater than the second scaling value; and coding each scaled DC coefficient and each scaled AC coefficient to obtain a compressed compensation table, thereby realizing the compression of the compensation table. By adopting the DC coefficient and the AC coefficient to take different scaling ranges and combining with coding processing, the compression ratio of the display compensation table is improved under the condition of visual loss, the occupation of memory space is reduced, the hardware resource of the system is saved, the cost is reduced, and the time consumed by transmitting and burning data is reduced.
In one embodiment, as shown in FIG. 3, a method for compensating for gauge compression of a display is provided, which is illustrated by way of example as applied to the processor 102 of FIG. 1, and includes the steps of:
step S310, DCT transformation of a preset number of compensation blocks is carried out on the compensation table to be compressed, and the DC coefficient of each compensation block and the AC coefficient of each compensation block are obtained.
Step S320, carrying out data scaling processing on the DC coefficient of each compensation block based on the first scaling value to obtain each scaled DC coefficient; carrying out data scaling processing on the AC coefficient of each compensation block based on the second scaling value to obtain each scaled AC coefficient; the first scaling value is greater than the second scaling value.
Step S330, quantizes each scaled AC coefficient to obtain each quantized AC coefficient.
Where quantization refers to the process of approximating a continuous value (or a large number of possible discrete values) of data as a finite number (or fewer) of discrete values.
Specifically, each quantized AC coefficient is obtained by quantizing each scaled AC coefficient. And furthermore, the compression rate of the compensation table can be improved under the condition that the visual loss of the display compensation table is ensured.
In one example, each scaled AC coefficient and each scaled DC coefficient may be quantized separately, resulting in each quantized AC coefficient and each quantized DC coefficient. And coding each quantized DC coefficient and each quantized AC coefficient to obtain a compensation table after compression, thereby improving the compression rate.
Step S340, encode each scaled DC coefficient and each quantized AC coefficient to obtain a compressed compensation table.
The specific content process of step S310 and step S320 may refer to the above content, and is not described herein again.
Specifically, DCT transformation of a preset number of compensation blocks is carried out on a compensation table to be compressed to obtain a DC coefficient of each compensation block and an AC coefficient of each compensation block; carrying out data scaling processing on the DC coefficient of each compensation block based on a larger first scaling value to obtain each scaled DC coefficient; carrying out data scaling processing on the AC coefficient of each compensation block based on a smaller second scaling value to obtain each scaled AC coefficient; quantizing each scaled AC coefficient to obtain each quantized AC coefficient; and coding each scaled DC coefficient and each quantized AC coefficient to obtain a compressed compensation table, and further compressing the compensation table. The DC coefficient and the AC coefficient are adopted to take different scaling ranges, the AC coefficient is subjected to quantization processing and combined encoding processing, so that the compression rate of the display compensation table is improved under the condition of visual loss, the occupation of the memory space is reduced, the hardware resource of the system is saved, the cost is reduced, and the time consumed by transmitting and burning data is reduced.
In one embodiment, as shown in FIG. 4, a method for compensating for gauge compression of a display is provided, which is illustrated by way of example as applied to the processor 102 of FIG. 1, and includes the steps of:
step S410, DCT transformation of a preset number of compensation blocks is carried out on the compensation table to be compressed, and the DC coefficient of each compensation block and the AC coefficient of each compensation block are obtained.
Step S420, carrying out data scaling processing on the DC coefficient of each compensation block based on the first scaling value to obtain each scaled DC coefficient; carrying out data scaling processing on the AC coefficient of each compensation block based on the second scaling value to obtain each scaled AC coefficient; the first scaling value is greater than the second scaling value.
Step S430, performing binary arithmetic coding processing on each scaled DC coefficient and each scaled AC coefficient to obtain a compressed compensation table.
The arithmetic coding is a lossless data compression method, and directly codes the whole input message into a number, namely a decimal n meeting (n is more than or equal to 0.0 and less than 1.0). The encoding method of binary arithmetic coding is identical to arithmetic coding, but the input has only two symbols: "0" and "1", that is, the input is a binary string.
Specifically, each scaled DC coefficient and each scaled AC coefficient may be converted into a corresponding binary system according to the scaled value of the DC coefficient and the scaled value of the AC coefficient, and are arithmetically encoded, respectively, to obtain the compensation table after compression.
Further, 1bit sign bit can be added to the AC coefficient converted into the binary system, and arithmetic coding is performed.
It should be noted that, the specific content process of the step S310 and the step S320 may refer to the above content, and is not described herein again.
Specifically, DCT transformation of a preset number of compensation blocks is carried out on a compensation table to be compressed to obtain a DC coefficient of each compensation block and an AC coefficient of each compensation block; carrying out data scaling processing on the DC coefficient of each compensation block based on a larger first scaling value to obtain each scaled DC coefficient; carrying out data scaling processing on the AC coefficient of each compensation block based on a smaller second scaling value to obtain each scaled AC coefficient; and carrying out binary arithmetic coding processing on each scaled DC coefficient and each scaled AC coefficient to obtain a compressed compensation table, and further compressing the compensation table. The DC coefficient and the AC coefficient are adopted to take different scaling ranges, the AC coefficient is subjected to quantization processing and combined encoding processing, so that the compression rate of the display compensation table is improved under the condition of visual loss, the occupation of the memory space is reduced, the hardware resource of the system is saved, the cost is reduced, and the time consumed by transmitting and burning data is reduced.
In one embodiment, as shown in FIG. 5, a method for compensating for gauge compression of a display is provided, which is illustrated by way of example as applied to the processor 102 of FIG. 1, and includes the steps of:
step S510, performing DCT transformation on a predetermined number of compensation blocks on the compensation table to be compressed to obtain a DC coefficient of each compensation block and an AC coefficient of each compensation block.
And step S520, performing Z-type scanning sorting on the AC coefficients of the compensation blocks to obtain the sorted AC coefficients.
Wherein, the zigzag scanning refers to the zigzag scanning and sorting of the AC coefficients in the compensation block.
Step S530, carrying out data scaling processing on the DC coefficient of each compensation block based on the first scaling value to obtain each scaled DC coefficient; performing data scaling processing on each sorted AC coefficient based on the second scaling value to obtain each scaled AC coefficient; the first scaling value is greater than the second scaling value.
And step S540, coding each scaled DC coefficient and each scaled AC coefficient to obtain a compressed compensation table.
The specific content processes of step S510, step S530 and step S540 may refer to the above contents, and are not described herein again.
Specifically, DCT conversion processing is carried out on the compensation table to be compressed to obtain a DC coefficient of each compensation block and an AC coefficient of each compensation block; performing Z-type scanning sequencing on the AC coefficients of the compensation blocks to obtain the sequenced AC coefficients; carrying out data scaling processing on the DC coefficient of each compensation block based on a larger first scaling value to obtain each scaled DC coefficient; carrying out data scaling processing on the sorted AC coefficients of the compensation blocks based on a smaller second scaling value to obtain scaled AC coefficients; and coding each scaled DC coefficient and each scaled AC coefficient to obtain a compressed compensation table, thereby realizing the compression of the compensation table. The DC coefficient and the AC coefficient are adopted to take different scaling ranges, the AC coefficient is subjected to quantization processing and combined encoding processing, so that the compression rate of the display compensation table is improved under the condition of visual loss, the occupation of the memory space is reduced, the hardware resource of the system is saved, the cost is reduced, and the time consumed by transmitting and burning data is reduced.
In one example, after the DCT transformation processing is performed on the compensation blocks, the DC coefficients are positioned at the upper left corner of the compensation blocks, then the DC coefficients of all the compensation blocks are connected, and the AC coefficients are sorted by Z-shaped scanning; the DC coefficients of all the compensation blocks adopt a larger scaling value (scale) to carry out numerical scaling (the DC coefficients represent the main information of the image and the precision loss is avoided), and the AC coefficients adopt a smaller scaling value (scale) to carry out numerical scaling (the AC coefficients represent the high-frequency information of the image and are not easy to be perceived by human eyes); and quantizing the AC coefficient after the numerical scaling, and compressing the compensation table by combining a binary arithmetic coding algorithm. And further, the compression ratio is improved while the compensation table ensures that the vision is lossless.
In a specific embodiment, the step of performing DCT transformation on a predetermined number of compensation blocks on the compensation table to be compressed to obtain the DC coefficient of each compensation block and the AC coefficient of each compensation block includes:
dividing the compensation table to be compressed based on the preset number to obtain each compensation block;
and performing DCT (discrete cosine transformation) on each compensation block to obtain the DC coefficient of each compensation block and the AC coefficient of each compensation block.
Specifically, the compensation table to be compressed is divided into N × N (for example, N is 8), so as to obtain the compensation block of the preset data. And performing DCT transformation on each compensation block in sequence to obtain the DC coefficient of each compensation block and the AC coefficient of each compensation block.
In one embodiment, in the step of obtaining each scaled DC coefficient by performing data scaling processing on the DC coefficient of each compensation block based on the first scaling value, the scaled DC coefficient is obtained by the following formula:
Figure BDA0002362062340000121
and in the step of obtaining the scaled AC coefficients by performing data scaling processing on the AC coefficients of the compensation blocks based on the second scaling value, obtaining a scaled AC system by the following formula:
Figure BDA0002362062340000122
wherein, scale1 is a first scaling value, Y1 is a scaled DC coefficient, X1 is a DC coefficient, and X1_ MAX is a maximum DC coefficient in the compensation block; scale2 is the second scaling value, Y2 is the scaled AC coefficient, X2 is the AC coefficient, and X2_ MAX is the largest AC coefficient in the compensation block.
In a specific embodiment, the DC coefficient is a direct current component and a low frequency component corresponding to the compensation table to be compressed; the AC coefficients are an alternating current component and a high frequency component corresponding to the compensation table to be compressed.
In one embodiment, a method for compressing compensation gauge of display is provided, wherein the size 8 x 1920 of the compensation gauge to be compressed is taken as an example.
After 8 × 8 DCT transform processing is performed on the compensation table to be compressed, pixels at the same position of each compensation block are connected, and pixels at different positions are processed according to Z-type scanning, that is, DC coefficients of all compensation blocks are connected, and AC coefficients are scanned in Z-type. Different scaling values (scales) are respectively taken for the DC coefficient and the AC coefficient, and 0 is kept as much as possible. For example, for a 10-bit compensation table, considering that the DC coefficient is low-frequency information, precision loss should be avoided as much as possible, and the scaling value adopted by the DC coefficient is 13; considering that the AC coefficient is high frequency information and is not easily perceived by human eyes, the scaling value adopted by the AC coefficient is 7. The DC coefficient is 13 bits at maximum and is a positive number.
Furthermore, in order to ensure that the vision is lossless and improve the compression rate, only the AC coefficient can be quantized, and the DC coefficient is not quantized; and according to the scaling value of the DC coefficient and the scaling value of the AC coefficient, respectively converting the DC coefficient and the AC coefficient into corresponding binary systems, and in addition, the AC coefficient can also be added with 1bit sign bit and then arithmetically encoded to realize the compression of the compensation table.
Further, the TFT compensation table is compressed by the above method and the TFT compensation table is compressed by the conventional method, the compensation table is 8 × 1920, the compensation block is 8 × 8, and the experimental result is as follows:
Figure BDA0002362062340000131
where RMSE (Root Mean square Error) refers to the square Root of the ratio of the square of the deviation of the predicted value from the true value to the number of observations n.
The smaller the compression ratio, the better the compression effect.
In the embodiment, the DC coefficient and the AC coefficient are adopted to take different scaling ranges, the AC coefficient is quantized and combined with binary arithmetic coding, so that the compression rate of the display compensation table is improved under the condition of visual loss, the occupation of the memory space is reduced, the hardware resources of the system are saved, the cost is reduced, and the time consumed by data transmission and burning is reduced.
It should be understood that, although the steps in the flowcharts of fig. 2 to 5 are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-5 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 6, there is also provided a display compensation gauge compression device including:
the DCT transforming unit 610 is configured to perform DCT transformation on a predetermined number of compensation blocks on the compensation table to be compressed to obtain a DC coefficient of each compensation block and an AC coefficient of each compensation block.
A data scaling processing unit 620, configured to perform data scaling processing on the DC coefficient of each compensation block based on the first scaling value to obtain each scaled DC coefficient; carrying out data scaling processing on the AC coefficient of each compensation block based on the second scaling value to obtain each scaled AC coefficient; the first scaling value is greater than the second scaling value.
And an encoding and compressing unit 630, configured to perform encoding processing on each scaled DC coefficient and each scaled AC coefficient to obtain a compressed compensation table.
For specific limitations of the display gauge compensation compression device, reference may be made to the above limitations of the display gauge compensation compression method, which are not described in detail herein. The various modules in the display compensation gauge compression apparatus described above may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a processor in the display compensation table compression system or independent of the processor in the display compensation table compression system in a hardware form, and can also be stored in a memory in the display compensation table compression system in a software form, so that the processor can call and execute the corresponding operations of the modules.
In one embodiment, as shown in FIG. 7, there is also provided a display compensated gauge compression system comprising a controller 710 for connecting a display panel; the controller 710 is configured to perform the steps of any of the display compensated gauge compression methods described above.
The controller 710 may be, but not limited to, a single chip microcomputer or an ARM.
Specifically, the controller 710 may be configured to perform the following steps:
performing DCT (discrete cosine transformation) conversion of a preset number of compensation blocks on a compensation table to be compressed to obtain a DC (direct current) coefficient of each compensation block and an AC (alternating current) coefficient of each compensation block;
carrying out data scaling processing on the DC coefficient of each compensation block based on the first scaling value to obtain each scaled DC coefficient; carrying out data scaling processing on the AC coefficient of each compensation block based on the second scaling value to obtain each scaled AC coefficient; the first scaling value is greater than the second scaling value;
and coding each scaled DC coefficient and each scaled AC coefficient to obtain a compressed compensation table.
Specifically, the controller adopts different scaling ranges of the DC coefficient and the AC coefficient and combines with coding processing, so that the compression rate of the display panel compensation table is improved under the condition of visual loss, the occupation of the memory space is reduced, the hardware resource of the system is saved, the cost is reduced, and the time consumed by transmitting and burning data is reduced.
In one embodiment, as shown in fig. 8, there is also provided a display comprising a display panel 810 and a display compensation table compression system 820 as described above; the display compensation table compression system 820 is coupled to the display panel 810.
Among them, the display panel 110 may be a current driving type display panel. For example, the display panel 110 may be, but is not limited to, a liquid crystal display panel, an OLED display panel, a Micro-LED display panel, a Mini-LED display panel, and the like. The display panel may include a plurality of pixels, each pixel corresponding to a gray-scale value; for example, if the gray-scale values of the pixels of the display panel are the same, the screen of the display panel is a pure color screen.
For specific limitations of the display, reference may be made to the limitations of the display compensation gauge compression system and the display compensation gauge compression method described above, and further description thereof is omitted here.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the division methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A method of compensating for gauge compression in a display, comprising the steps of:
performing DCT (discrete cosine transformation) conversion of a preset number of compensation blocks on a compensation table to be compressed to obtain a DC (direct current) coefficient of each compensation block and an AC (alternating current) coefficient of each compensation block;
carrying out data scaling processing on the DC coefficient of each compensation block based on a first scaling value to obtain each scaled DC coefficient; carrying out data scaling processing on the AC coefficient of each compensation block based on a second scaling value to obtain each scaled AC coefficient; the first scaling value is greater than the second scaling value;
and coding each scaled DC coefficient and each scaled AC coefficient to obtain a compressed compensation table.
2. The method of claim 1, wherein said step of encoding each of said scaled DC coefficients and each of said scaled AC coefficients to obtain a compressed compensation table comprises:
quantizing each scaled AC coefficient to obtain each quantized AC coefficient;
the step of encoding each of the scaled DC coefficients and each of the scaled AC coefficients to obtain a compressed compensation table includes:
and coding each scaled DC coefficient and each quantized AC coefficient to obtain the compressed compensation table.
3. The method of claim 1, wherein said step of encoding each of said scaled DC coefficients and each of said scaled AC coefficients to obtain a compressed compensation table comprises:
and performing binary arithmetic coding processing on each scaled DC coefficient and each scaled AC coefficient to obtain the compressed compensation table.
4. The method of claim 1, wherein the step of scaling the AC coefficients of the compensation blocks based on the second scaling value to obtain scaled AC coefficients comprises:
performing Z-type scanning sequencing on the AC coefficients of the compensation blocks to obtain the sequenced AC coefficients;
the step of performing data scaling processing on the AC coefficient of each compensation block based on the second scaling value to obtain each scaled AC coefficient includes:
and carrying out data scaling processing on each sorted AC coefficient based on the second scaling value to obtain each scaled AC coefficient.
5. The method as claimed in claim 1, wherein the step of performing DCT transformation of a predetermined number of compensation blocks on the compensation table to be compressed to obtain the DC coefficient of each compensation block and the AC coefficient of each compensation block comprises:
dividing the compensation table to be compressed based on a preset number to obtain each compensation block;
and performing DCT (discrete cosine transformation) on each compensation block to obtain a DC coefficient of each compensation block and an AC coefficient of each compensation block.
6. The method of claim 1, wherein the step of performing data scaling on the DC coefficient of each compensation block based on the first scaling value to obtain each scaled DC coefficient comprises obtaining the scaled DC coefficient by the following equation:
Figure FDA0002362062330000021
in the step of performing data scaling processing on the AC coefficient of each compensation block based on the second scaling value to obtain each scaled AC coefficient, the scaled AC system is obtained by the following formula:
Figure FDA0002362062330000022
wherein, scale1 is a first scaling value, Y1 is a scaled DC coefficient, X1 is a DC coefficient, and X1_ MAX is a maximum DC coefficient in the compensation block; scale2 is the second scaling value, Y2 is the scaled AC coefficient, X2 is the AC coefficient, and X2_ MAX is the largest AC coefficient in the compensation block.
7. The display compensation gauge compression method of any one of claims 1 to 6, wherein the DC coefficient is a direct current component and a low frequency component corresponding to the compensation gauge to be compressed;
and the AC coefficients are alternating current components and high-frequency components corresponding to the compensation table to be compressed.
8. A display compensating gauge compression apparatus, comprising:
the DCT transformation unit is used for carrying out DCT transformation on a preset number of compensation blocks on the compensation table to be compressed to obtain a DC coefficient of each compensation block and an AC coefficient of each compensation block;
the data scaling processing unit is used for carrying out data scaling processing on the DC coefficient of each compensation block based on a first scaling value to obtain each scaled DC coefficient; carrying out data scaling processing on the AC coefficient of each compensation block based on a second scaling value to obtain each scaled AC coefficient; the first scaling value is greater than the second scaling value;
and the coding compression unit is used for coding each scaled DC coefficient and each scaled AC coefficient to obtain a compressed compensation table.
9. A display compensation gauge compression system comprising a controller for connection to a display panel; the controller is configured to perform the steps of the display compensation gauge compression method of any one of claims 1 to 7.
10. A display comprising a display panel and the display compensated gauge compression system of claim 9;
the display compensation gauge compression system is connected with the display panel.
CN202010024800.2A 2020-01-10 2020-01-10 Compression method, device and system for display compensation gauge and display Pending CN111225216A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010024800.2A CN111225216A (en) 2020-01-10 2020-01-10 Compression method, device and system for display compensation gauge and display

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010024800.2A CN111225216A (en) 2020-01-10 2020-01-10 Compression method, device and system for display compensation gauge and display

Publications (1)

Publication Number Publication Date
CN111225216A true CN111225216A (en) 2020-06-02

Family

ID=70829342

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010024800.2A Pending CN111225216A (en) 2020-01-10 2020-01-10 Compression method, device and system for display compensation gauge and display

Country Status (1)

Country Link
CN (1) CN111225216A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111708777A (en) * 2020-06-08 2020-09-25 云谷(固安)科技有限公司 Display data access method and device and display device
WO2022205094A1 (en) * 2021-03-31 2022-10-06 深圳市大疆创新科技有限公司 Data processing method, data transmission system, and device and storage medium
CN116669104A (en) * 2023-07-24 2023-08-29 南京创芯慧联技术有限公司 Data transmission compression method, device, computer equipment and storage medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101159870A (en) * 2007-11-12 2008-04-09 北京中星微电子有限公司 Emergent JPEG compression bit rate control device and method thereof
CN101551902A (en) * 2009-05-15 2009-10-07 武汉大学 A characteristic matching method for compressing video super-resolution based on learning
CN102724499A (en) * 2012-05-31 2012-10-10 西北工业大学 Variable-compression ratio image compression system and method based on FPGA
CN104683801A (en) * 2013-11-29 2015-06-03 华为技术有限公司 Image compression method and device
WO2016135510A1 (en) * 2015-02-27 2016-09-01 Sheffield Hallam University Image data compression and decompression using minimize size matrix algorithm
CN109324778A (en) * 2018-12-04 2019-02-12 深圳市华星光电半导体显示技术有限公司 Compensate table compression method
CN110166783A (en) * 2019-06-03 2019-08-23 深圳市华星光电技术有限公司 Compensate table compression method, display manufacturing equipment and the device with store function

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101159870A (en) * 2007-11-12 2008-04-09 北京中星微电子有限公司 Emergent JPEG compression bit rate control device and method thereof
CN101551902A (en) * 2009-05-15 2009-10-07 武汉大学 A characteristic matching method for compressing video super-resolution based on learning
CN102724499A (en) * 2012-05-31 2012-10-10 西北工业大学 Variable-compression ratio image compression system and method based on FPGA
CN104683801A (en) * 2013-11-29 2015-06-03 华为技术有限公司 Image compression method and device
WO2016135510A1 (en) * 2015-02-27 2016-09-01 Sheffield Hallam University Image data compression and decompression using minimize size matrix algorithm
CN109324778A (en) * 2018-12-04 2019-02-12 深圳市华星光电半导体显示技术有限公司 Compensate table compression method
CN110166783A (en) * 2019-06-03 2019-08-23 深圳市华星光电技术有限公司 Compensate table compression method, display manufacturing equipment and the device with store function

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111708777A (en) * 2020-06-08 2020-09-25 云谷(固安)科技有限公司 Display data access method and device and display device
CN111708777B (en) * 2020-06-08 2023-06-23 云谷(固安)科技有限公司 Display data access method and device and display device
WO2022205094A1 (en) * 2021-03-31 2022-10-06 深圳市大疆创新科技有限公司 Data processing method, data transmission system, and device and storage medium
CN116669104A (en) * 2023-07-24 2023-08-29 南京创芯慧联技术有限公司 Data transmission compression method, device, computer equipment and storage medium
CN116669104B (en) * 2023-07-24 2023-09-29 南京创芯慧联技术有限公司 Data transmission compression method, device, computer equipment and storage medium

Similar Documents

Publication Publication Date Title
CN111225216A (en) Compression method, device and system for display compensation gauge and display
EP1434195B1 (en) Image processing apparatus, image transmission apparatus, image reception apparatus, and image processing method
US7403183B2 (en) Image data processing method, and image data processing circuit
CN102163416B (en) Display driving circuit
CN105049745B (en) Method and system for processing frames to provide on an electronic display
CN104917534A (en) Method and device for compressing and decompressing data information, method and device for driving compensation and display device
CN100525415C (en) Frame data correction output device, correction device and method, display device
CN109324778B (en) Compression method for compensation pressure
US8270747B2 (en) Image encoding device, image decoding device, and integrated circuit
KR20140046985A (en) Compressor, driving device, display device, and compression method
EP3659339B1 (en) Single-channel inverse mapping for image/video processing
GB2563411A (en) Processing display data
CN115206234A (en) Display panel compensation data coding method, display module and storage medium
CN102271251B (en) Lossless image compression method
US10965314B2 (en) Compensation table compression method, display manufacturing apparatus, and memory
Wang et al. Adaptive multi-level block truncation coding for frame memory reduction in LCD overdrive
EP2169958A2 (en) Lossless compression-encoding device and decoding device for image data
CN101547352B (en) Method for compressing and decompressing image
CN103391437B (en) A kind of method and device of high-dynamics image virtually lossless compression
WO2019023202A1 (en) Single-channel inverse mapping for image/video processing
CN112399069A (en) Image encoding method and apparatus, storage medium, and electronic device
Wang et al. A hybrid image coding in overdriving for motion blur reduction in LCD
Ko et al. Dual block truncation coding for overdriving of full HD LCD driver
CN114787904A (en) Display driving method and display
KR20220119316A (en) Encoding method and encoder

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
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20200602