Image big data analysis system

Abstract

The invention relates to an image big data analysis system, which comprises a data analysis device used for aiming at each surrounding coded image block, taking the number of non-zero numerical values respectively existing in each corresponding difference block as the number of each part, performing mean value processing on each part number to obtain a corresponding reference numerical value, obtaining each reference value corresponding to each surrounding coded image block; and the block selection device is used for taking the surrounding coded image block corresponding to the reference value with the minimum value in the reference values as a candidate image block for intra-frame coding. The image big data analysis system is intelligent in design and wide in application. A reliable selection mode can be determined by adopting a specifically designed signal processing mechanism, and is used for selecting the most reliable reference image block from each surrounding image block of the image block to be subjected to intra-frame coding, so that the adaptive level of intra-frame coding is enhanced.

Description

Technical Field

[0001] The present invention relates to the field of image processing, and in particular to an image big data analysis system. Background Art

[0002] In the field of telecommunications, the most typical applications of signal processing are mainly in the following two aspects:

[0003] (1) Speech coding and compression: After speech is digitized, it occupies a very wide frequency band. In order to achieve narrowband transmission and efficient storage, it needs to be compressed. Usually, a speech requires a bit rate of 64 kbit / s. Medium-speed coding requires that this bit rate be compressed to 32 kbit / s, 16 kbit / s or even 8 kbit / s, while still maintaining good speech quality. Through digital signal processing technology, many adaptive coding schemes have met the requirements of the International Telegraph and Telephone Consultative Committee. Low-speed coding requires that the bit rate be reduced to 4.8 kbit / s, 2.4 kbit / s or even 800 bit / s, and good algorithms and hardware have been developed to achieve this.

[0004] (2) Image coding compression: Regardless of whether it is a still image or a moving image, or even a television image, the amount of data after digital coding is very large. To transmit them with high quality, they generally need to be compressed to 1 / 10~1 / 100. Various coding methods, as well as the so-called wavelet transform method and fractal signal analysis method, have proposed feasible solutions for high compression ratio television coding.

[0005] Specifically for the intra-frame coding branch of image coding compression, the encoding end needs to select the surrounding image blocks that best match the image blocks to be intra-frame encoded from the surrounding image blocks of the image blocks to be intra-frame encoded and put them into the intra-frame coding operation of each color channel of the image blocks to be intra-frame encoded. However, how to design a simplified and reliable selection mechanism to complete the above-mentioned selection operation is one of the difficult problems that need to be solved in the prior art. Summary of the invention

[0006] In order to solve the technical problems in the prior art, the present invention provides an image big data analysis system, which can use a specifically designed signal processing mechanism to determine a reliable selection mode, for selecting the surrounding image blocks that best match the image blocks to be intra-frame encoded from the surrounding image blocks of the image blocks to be intra-frame encoded and putting them into the intra-frame encoding operations of each color channel of the image blocks to be intra-frame encoded, thereby realizing adaptive intra-frame coding processing of image blocks to be intra-frame encoded with different image contents.

[0007] According to the present invention, a system for analyzing image big data is provided, the system comprising: A reconstruction processing device, used to take the image block to be intra-frame encoded as the current image block, take the image blocks in the image where the current image block is located that are different from the current image block and have completed intra-frame encoding as surrounding encoded image blocks, and for each surrounding encoded image block, determine the difference blocks between the corresponding various color channel blocks and the respective reconstructed blocks to obtain the difference blocks corresponding to the various color channels; a data analysis device connected to the reconstruction processing device, for each surrounding coded image block, taking the number of non-zero values ​​in each corresponding difference block as each number, performing mean processing on each number to obtain the corresponding reference value, so as to obtain the reference values ​​corresponding to each surrounding coded image block; A block selection device, connected to the data analysis device, used to select surrounding coded image blocks corresponding to the reference value with the smallest value among the reference values ​​as candidate image blocks for performing intra-frame coding on various color channel blocks corresponding to the current image block; An intra-frame coding device, connected to the block selection device, for performing intra-frame coding on various color channel blocks corresponding to the current image block based on the candidate image block selected by the block selection device; Wherein, for each surrounding coded image block, determining the difference blocks between the corresponding various color channel blocks and the respective reconstructed blocks to obtain the difference blocks corresponding to the various color channels respectively includes: the various colors are red and green channels, black and white channels and yellow and blue channels in the LAB color space, the difference blocks between the red and green channel blocks corresponding to the surrounding coded image blocks and the reconstructed blocks are used as the first difference blocks, the difference blocks between the black and white channel blocks corresponding to the surrounding coded image blocks and the reconstructed blocks are used as the second difference blocks, and the difference blocks between the yellow and blue channel blocks corresponding to the surrounding coded image blocks and the reconstructed blocks are used as the third difference blocks, and the difference blocks include the first difference blocks, the second difference blocks and the third difference blocks; Among them, the various colors are the red and green channels, black and white channels, and yellow and blue channels in the LAB color space, the difference block between the red and green channel blocks corresponding to the surrounding coded image blocks and their reconstructed blocks is used as the first difference block, the difference block between the black and white channel blocks corresponding to the surrounding coded image blocks and their reconstructed blocks is used as the second difference block, and the difference block between the yellow and blue channel blocks corresponding to the surrounding coded image blocks and their reconstructed blocks is used as the third difference block, and each difference block includes the first difference block, the second difference block, and the third difference block includes: the red and green channel blocks corresponding to the surrounding coded image blocks and their reconstructed blocks are subjected to data subtraction processing at the same position to obtain the first difference block.

[0008] It can be seen that the present invention has at least the following three significant substantive features: Firstly, the image block to be intra-frame encoded is taken as the current image block, and the image blocks in the image where the current image block is located, which are different from the current image block and have completed intra-frame encoding, are taken as surrounding encoded image blocks, and for each surrounding encoded image block, the difference blocks between the corresponding various color channel blocks and the respective reconstructed blocks are determined to obtain the difference blocks corresponding to the various color channels; Secondly: a data analysis mode is used to take the number of non-zero values ​​in each of the corresponding difference blocks as the number of each portion for each surrounding coded image block, and the number of each portion is averaged to obtain the corresponding reference value, so as to obtain the reference values ​​corresponding to each of the surrounding coded image blocks; Again: the surrounding coded image blocks corresponding to the reference value with the smallest value among the reference values ​​are used as candidate image blocks for performing intra-frame coding on the various color channel blocks corresponding to the current image block, and the various color channel blocks corresponding to the current image block are intra-frame coded based on the candidate image blocks selected by the block selection device, thereby effectively utilizing the characteristics of the same value change state of different color channels to achieve adaptive selection of candidate image blocks for intra-frame coding.

[0009] The image big data analysis system of the present invention is intelligently designed and widely used. Since a reliable selection mode can be determined by using a specifically designed signal processing mechanism, the most reliable reference image block can be selected from each surrounding image block of the image block to be intra-frame encoded, thereby enhancing the adaptability level of intra-frame encoding. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein:

[0011] Figure 1 FIG. 1 is a diagram showing the internal structure of an image big data analysis system according to a first embodiment of the present invention.

[0012] Figure 2 FIG. 1 is a diagram showing the internal structure of an image big data analysis system according to a second embodiment of the present invention.

[0013] Figure 3 FIG. 4 is a diagram showing the internal structure of an image big data analysis system according to a third embodiment of the present invention. DETAILED DESCRIPTION

[0014] The implementation scheme of the image big data analysis system of the present invention will be described in detail below with reference to the accompanying drawings.

[0015] Figure 1This is an internal structure diagram of an image big data analysis system according to a first embodiment of the present invention, wherein the system comprises: A reconstruction processing device, used to take the image block to be intra-frame encoded as the current image block, take the image blocks in the image where the current image block is located that are different from the current image block and have completed intra-frame encoding as surrounding encoded image blocks, and for each surrounding encoded image block, determine the difference blocks between the corresponding various color channel blocks and the respective reconstructed blocks to obtain the difference blocks corresponding to the various color channels; Specifically, a reconstruction processing device is used to take the image block to be intra-frame encoded as the current image block, take the image block in the image where the current image block is located, which is different from the current image block and has completed intra-frame encoding, as the surrounding encoded image block, and for each surrounding encoded image block, determine the difference blocks between the corresponding various color channel blocks and the respective reconstructed blocks to obtain the difference blocks corresponding to the various color channels respectively, including: the reconstruction processing device has a built-in block capture unit and a difference analysis unit, the block capture unit is used to take the image block to be intra-frame encoded as the current image block, take the image block in the image where the current image block is located, which is different from the current image block and has completed intra-frame encoding, as the surrounding encoded image block, and the difference analysis unit is connected to the block capture unit, and is used to determine the difference blocks between the corresponding various color channel blocks and the respective reconstructed blocks for each surrounding encoded image block to obtain the difference blocks corresponding to the various color channels respectively; a data analysis device connected to the reconstruction processing device, for each surrounding coded image block, taking the number of non-zero values ​​in each corresponding difference block as each number, performing mean processing on each number to obtain the corresponding reference value, so as to obtain the reference values ​​corresponding to each surrounding coded image block; A block selection device, connected to the data analysis device, used to select surrounding coded image blocks corresponding to the reference value with the smallest value among the reference values ​​as candidate image blocks for performing intra-frame coding on various color channel blocks corresponding to the current image block; An intra-frame coding device, connected to the block selection device, for performing intra-frame coding on various color channel blocks corresponding to the current image block based on the candidate image block selected by the block selection device; Wherein, for each surrounding coded image block, determining the difference blocks between the corresponding various color channel blocks and the respective reconstructed blocks to obtain the difference blocks corresponding to the various color channels respectively includes: the various colors are red and green channels, black and white channels and yellow and blue channels in the LAB color space, the difference blocks between the red and green channel blocks corresponding to the surrounding coded image blocks and the reconstructed blocks are used as the first difference blocks, the difference blocks between the black and white channel blocks corresponding to the surrounding coded image blocks and the reconstructed blocks are used as the second difference blocks, and the difference blocks between the yellow and blue channel blocks corresponding to the surrounding coded image blocks and the reconstructed blocks are used as the third difference blocks, and the difference blocks include the first difference blocks, the second difference blocks and the third difference blocks; Wherein, various colors are red and green channels, black and white channels, and yellow and blue channels in the LAB color space, the difference block between the red and green channel blocks corresponding to the surrounding coded image blocks and the reconstructed blocks thereof is used as the first difference block, the difference block between the black and white channel blocks corresponding to the surrounding coded image blocks and the reconstructed blocks thereof is used as the second difference block, and the difference block between the yellow and blue channel blocks corresponding to the surrounding coded image blocks and the reconstructed blocks thereof is used as the third difference block, and each difference block includes the first difference block, the second difference block, and the third difference block includes: the red and green channel blocks corresponding to the surrounding coded image blocks and the reconstructed blocks thereof are subjected to data subtraction processing at the same position to obtain the first difference block; Wherein, various colors are red and green channels, black and white channels, and yellow and blue channels in the LAB color space, the difference block between the red and green channel blocks corresponding to the surrounding coded image blocks and the reconstructed blocks thereof is used as the first difference block, the difference block between the black and white channel blocks corresponding to the surrounding coded image blocks and the reconstructed blocks thereof is used as the second difference block, and the difference block between the yellow and blue channel blocks corresponding to the surrounding coded image blocks and the reconstructed blocks thereof is used as the third difference block, and each difference block includes the first difference block, the second difference block, and the third difference block further includes: the black and white channel blocks corresponding to the surrounding coded image blocks and the reconstructed blocks thereof are subjected to data subtraction processing at the same position to obtain the second difference block; The image block to be intra-frame encoded is used as the current image block, and the image blocks in the image where the current image block is located, which are different from the current image block and have completed intra-frame encoding, are used as surrounding encoded image blocks. For each surrounding encoded image block, the difference blocks between the corresponding various color channel blocks and the respective reconstructed blocks are determined to obtain the difference blocks corresponding to various color channels, including: the current image block and each surrounding encoded image block have the same number of pixels and the same shape; And wherein, using the surrounding coded image blocks corresponding to the smallest reference value among the reference values ​​as the various color channel blocks corresponding to the current image block to respectively perform intra-frame coding on the candidate image blocks includes: using the MATLAB toolbox to realize the simulation and test of the data processing process of using the surrounding coded image blocks corresponding to the smallest reference value among the reference values ​​as the various color channel blocks corresponding to the current image block to respectively perform intra-frame coding on the candidate image blocks.

[0016] Figure 2 FIG. 1 is a diagram showing the internal structure of an image big data analysis system according to a second embodiment of the present invention.

[0017] exist Figure 2 In, with Figure 1 Differently, the image big data analysis system shown in the second embodiment of the present invention may further include: A parallel data interface, for connecting the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device, respectively, to receive data from the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device, respectively, and to send parallel data from a parallel data bus to the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device, respectively; Among them, the parallel data interface is used for connecting the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device respectively, so as to receive data from the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device respectively, and send the parallel data from the parallel data bus to the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device respectively, including: the parallel data bus is one of a 16-bit parallel data bus and a 32-bit parallel data bus.

[0018] Figure 3 FIG. 4 is a diagram showing the internal structure of an image big data analysis system according to a third embodiment of the present invention.

[0019] exist Figure 3 In, with Figure 1 Differently, the image big data analysis system shown in the third embodiment of the present invention may also include: A user control interface is respectively connected to the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device, and is used to receive user control instructions for the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device respectively.

[0020] Next, the specific structure of the image big data analysis system of the present invention will be further described.

[0021] In the image big data analysis system according to any one of the embodiments of the present invention: The reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device are connected to the same quartz oscillation device to obtain the timing data provided by the quartz oscillation device, and the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device are respectively connected to the same content storage chip, and the content storage chip is one of a FLASH flash memory, an SDRAM memory chip and a DDR memory chip.

[0022] In the image big data analysis system according to any one of the embodiments of the present invention: The reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device are respectively connected to the same IIC control bus, and are used to receive various control commands sent by the IIC control bus, and the various control commands are used to respectively configure various working parameters of the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device.

[0023] In the image big data analysis system according to any one of the embodiments of the present invention: The reconstruction processing device, the data analysis device, the block selection device and the intra-frame encoding device are respectively connected to the IIC control bus and are used to receive various control instructions sent through the IIC control bus.

[0024] In the image big data analysis system according to any one of the embodiments of the present invention: The reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device are respectively connected to the same MCU controller, and are used to switch the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device between the sleep mode and the working mode under the control of the same MCU controller.

[0025] And in the image big data analysis system according to any embodiment of the present invention: The reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device are respectively connected to the same MCU controller, and are used for switching the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device between the sleep mode and the working mode under the control of the same MCU controller. The same MCU controller is designed based on the ARM13 core. In addition, in the image big data analysis system, various colors are red and green channels, black and white channels, and yellow and blue channels in the LAB color space, and the difference block between the red and green channel block corresponding to the surrounding coded image block and the reconstructed block is used as the first difference block, the difference block between the black and white channel block corresponding to the surrounding coded image block and the reconstructed block is used as the second difference block, and the difference block between the yellow and blue channel block corresponding to the surrounding coded image block and the reconstructed block is used as the third difference block, and each difference block includes the first difference block, the second difference block, and the third difference block further includes: the yellow and blue channel block corresponding to the surrounding coded image block and the reconstructed block perform data subtraction processing at the same position to obtain the third difference block; And wherein the various colors are the red and green channels, black and white channels, and yellow and blue channels in the LAB color space, the difference block between the red and green channel blocks corresponding to the surrounding coded image blocks and their reconstructed blocks is used as the first difference block, the difference block between the black and white channel blocks corresponding to the surrounding coded image blocks and their reconstructed blocks is used as the second difference block, and the difference block between the yellow and blue channel blocks corresponding to the surrounding coded image blocks and their reconstructed blocks is used as the third difference block, and the various difference blocks include the first difference block, the second difference block, and the third difference block also include: the respective value ranges of the red and green channels, the black and white channels, and the yellow and blue channels in the LAB color space are all between 0-255.

[0026] From the foregoing it will be appreciated that although specific embodiments of the invention have been described herein for purposes of illustration, various modifications may be made without departing from the spirit and scope of the invention. Accordingly, the present invention is limited only by the appended claims.

Claims

1. An image big data analysis system, characterized in that: The system comprises: A reconstruction processing device, used to take the image block to be intra-frame encoded as the current image block, take the image blocks in the image where the current image block is located that are different from the current image block and have completed intra-frame encoding as surrounding encoded image blocks, and for each surrounding encoded image block, determine the difference blocks between the corresponding various color channel blocks and the respective reconstructed blocks to obtain the difference blocks corresponding to the various color channels; a data analysis device connected to the reconstruction processing device, for each surrounding coded image block, taking the number of non-zero values ​​in each corresponding difference block as each number, performing mean processing on each number to obtain the corresponding reference value, so as to obtain the reference values ​​corresponding to each surrounding coded image block; A block selection device, connected to the data analysis device, used to select surrounding coded image blocks corresponding to the reference value with the smallest value among the reference values ​​as candidate image blocks for performing intra-frame coding on various color channel blocks corresponding to the current image block; An intra-frame coding device, connected to the block selection device, for performing intra-frame coding on various color channel blocks corresponding to the current image block based on the candidate image block selected by the block selection device; Wherein, for each surrounding coded image block, determining the difference blocks between the corresponding various color channel blocks and the respective reconstructed blocks to obtain the difference blocks corresponding to the various color channels respectively includes: the various colors are red and green channels, black and white channels and yellow and blue channels in the LAB color space, the difference blocks between the red and green channel blocks corresponding to the surrounding coded image blocks and the reconstructed blocks are used as the first difference blocks, the difference blocks between the black and white channel blocks corresponding to the surrounding coded image blocks and the reconstructed blocks are used as the second difference blocks, and the difference blocks between the yellow and blue channel blocks corresponding to the surrounding coded image blocks and the reconstructed blocks are used as the third difference blocks, and the difference blocks include the first difference blocks, the second difference blocks and the third difference blocks; Among them, the various colors are the red and green channels, black and white channels, and yellow and blue channels in the LAB color space, the difference block between the red and green channel blocks corresponding to the surrounding coded image blocks and their reconstructed blocks is used as the first difference block, the difference block between the black and white channel blocks corresponding to the surrounding coded image blocks and their reconstructed blocks is used as the second difference block, and the difference block between the yellow and blue channel blocks corresponding to the surrounding coded image blocks and their reconstructed blocks is used as the third difference block, and each difference block includes the first difference block, the second difference block, and the third difference block includes: the red and green channel blocks corresponding to the surrounding coded image blocks and their reconstructed blocks are subjected to data subtraction processing at the same position to obtain the first difference block.

2. The image big data analysis system according to claim 1, characterized in that: The various colors are red and green channels, black and white channels, and yellow and blue channels in the LAB color space, the difference block between the red and green channel blocks corresponding to the surrounding coded image blocks and the reconstructed blocks thereof is used as the first difference block, the difference block between the black and white channel blocks corresponding to the surrounding coded image blocks and the reconstructed blocks thereof is used as the second difference block, and the difference block between the yellow and blue channel blocks corresponding to the surrounding coded image blocks and the reconstructed blocks thereof is used as the third difference block, and the difference blocks include the first difference block, the second difference block, and the third difference block, and further include: the black and white channel blocks corresponding to the surrounding coded image blocks and the reconstructed blocks thereof are subjected to data subtraction processing at the same position to obtain the second difference block; The image block to be intra-frame encoded is used as the current image block, and the image blocks in the image where the current image block is located, which are different from the current image block and have completed intra-frame encoding, are used as surrounding encoded image blocks. For each surrounding encoded image block, the difference blocks between the corresponding various color channel blocks and the respective reconstructed blocks are determined to obtain the difference blocks corresponding to various color channels, including: the current image block and each surrounding encoded image block have the same number of pixels and the same shape; Among them, using the surrounding coded image blocks corresponding to the smallest reference value among the reference values ​​as the various color channel blocks corresponding to the current image block to respectively perform intra-frame coding on the candidate image blocks includes: using the MATLAB toolbox to realize the simulation and test of the data processing process of using the surrounding coded image blocks corresponding to the smallest reference value among the reference values ​​as the various color channel blocks corresponding to the current image block to respectively perform intra-frame coding on the candidate image blocks.

3. The image big data analysis system according to claim 2, characterized in that: The system further comprises: A parallel data interface, for connecting the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device, respectively, to receive data from the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device, respectively, and to send parallel data from a parallel data bus to the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device, respectively; Among them, the parallel data interface is used for connecting the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device respectively, so as to receive data from the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device respectively, and send the parallel data from the parallel data bus to the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device respectively, including: the parallel data bus is one of a 16-bit parallel data bus and a 32-bit parallel data bus.

4. The image big data analysis system according to claim 3, characterized in that: The system further comprises: A user control interface is respectively connected to the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device, and is used to receive user control instructions for the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device respectively.

5. The image big data analysis system according to any one of claims 2 to 4, characterized in that: The reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device are connected to the same quartz oscillation device to obtain the timing data provided by the quartz oscillation device, and the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device are respectively connected to the same content storage chip, and the content storage chip is one of a FLASH flash memory, an SDRAM memory chip and a DDR memory chip.

6. The image big data analysis system according to any one of claims 2 to 4, characterized in that: The reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device are respectively connected to the same IIC control bus, and are used to receive various control commands sent by the IIC control bus, and the various control commands are used to respectively configure various working parameters of the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device.

7. The image big data analysis system according to claim 6, characterized in that: The reconstruction processing device, the data analysis device, the block selection device and the intra-frame encoding device are respectively connected to the IIC control bus and are used to receive various control instructions sent through the IIC control bus.

8. The image big data analysis system according to any one of claims 2 to 4, characterized in that: The reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device are respectively connected to the same MCU controller, and are used to switch the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device between the sleep mode and the working mode under the control of the same MCU controller.

9. The image big data analysis system according to claim 8, characterized in that: The reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device are respectively connected to the same MCU controller, and are used to switch the reconstruction processing device, the data analysis device, the block selection device and the intra-frame coding device between the sleep mode and the working mode under the control of the same MCU controller, including: the same MCU controller is designed based on the ARM13 core.

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