Image lossless compression method implemented on basis of FPGA

A lossless compression and image technology, applied in image communication, digital video signal modification, electrical components, etc., can solve the problem that the decompression speed cannot match the transmission speed of Gigabit Ethernet, and the compression ratio is low, so as to achieve good context parameter information , the ideal compression ratio and the effect of compression and speed improvement

Active Publication Date: 2019-02-22
HEFEI I TEK OPTOELECTRONICS CO LTD
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Problems solved by technology

[0005] The existing lossless compression technology cannot match the decompression speed of Gigabit Ethernet transmission speed under th

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  • Image lossless compression method implemented on basis of FPGA
  • Image lossless compression method implemented on basis of FPGA
  • Image lossless compression method implemented on basis of FPGA

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Embodiment Construction

[0057] In order to further illustrate the features of the present invention, please refer to the following detailed description and accompanying drawings of the present invention. The accompanying drawings are for reference and description only, and are not intended to limit the protection scope of the present invention.

[0058] Such as figure 1 As shown, this embodiment discloses a method for image lossless compression based on FPGA, including the following steps S1 to S4:

[0059] S1. Initialize the encoding parameters to zero. The encoding parameters include the data of the predicted line, the cumulative prediction residual C[delta] and the cumulative number of occurrences of the context combination N[delta]. Area;

[0060] It should be noted that the encoding parameter initialization is to realize pixel prediction based on context information. Each image to be compressed needs to have a line of buffer as a prediction line before starting to encode, and the cumulative pr...

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Abstract

The invention discloses an image lossless compression method implemented on basis of an FPGA, and belongs to the technical field of image processing of machine vision. The image lossless compression method comprises the steps of: initializing coding parameters into zero, wherein the coding parameters comprise data of a predicted row, an accumulated predicted residual and context combination accumulated occurrence times; selecting two reference pixel points to calculate a residual of a current pixel point according to pixel values of the two reference pixel points; according to a relationship between a pixel value P of the current pixel point and the pixel values of the two reference pixel points, selecting a corresponding residual coding method to carry out coding on the residual of the current pixel point; and after completing residual coding of all the pixel points of a to-be-compressed image, updating the coding parameters. According to the invention, improvement and optimization are carried out on the basis of an FELICS (Fast and Efficient Lossless Image Compression System) algorithm, a decompression speed of an upper computer is improved when an image compression ratio is ensured, and an algorithm running speed can be matched with a gigabit Ethernet transmission speed.

Description

technical field [0001] The invention relates to the technical field of image processing of machine vision, in particular to an image lossless compression method realized based on FPGA. Background technique [0002] Image lossless compression technology aims to obtain a high compression ratio by reducing image data redundancy and can reconstruct the original image 100%. This technology has a wide range of applications in the fields of image data transmission, medical images, and remote sensing images. For image transmission systems, The throughput of the transmission link can be improved by using lossless compression technology. In order to meet the real-time requirements, the compression algorithm must have a sufficiently low complexity. [0003] The pixel value information of the image is a set of non-negative integers. For a grayscale image with a depth of N, its pixel value ranges from [0,2 N -1], the performance of lossless compression is determined by the information ...

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Application Information

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IPC IPC(8): H04N19/44H04N19/70H04N19/182H04N19/147H04N19/42
CPCH04N19/147H04N19/182H04N19/42H04N19/44H04N19/70
Inventor 李博川曹桂平董宁邵云峰王雪
Owner HEFEI I TEK OPTOELECTRONICS CO LTD
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