Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Lossless Image Compression Method Based on FPGA

A lossless compression and image technology, applied in image communication, digital video signal modification, electrical components, etc., can solve problems such as low compression ratio, decompression speed cannot match the transmission speed of Gigabit Ethernet, etc., and achieve ideal compression ratio and Compression, good context parameter information, saving codec time

Active Publication Date: 2021-11-19
HEFEI I TEK OPTOELECTRONICS CO LTD
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The existing lossless compression technology cannot match the decompression speed of Gigabit Ethernet transmission speed under the premise of ensuring a high compression ratio. Even if the decompression speed can match Gigabit Ethernet, the compression ratio is low

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Lossless Image Compression Method Based on FPGA
  • A Lossless Image Compression Method Based on FPGA
  • A Lossless Image Compression Method Based on FPGA

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an image lossless compression method based on FPGA, which belongs to the technical field of image processing of machine vision, and includes initializing coding parameters to zero, and the coding parameters include data of prediction lines, cumulative prediction residuals and context combination accumulation The number of occurrences; and select two reference pixel points to calculate the residual error of the current pixel point according to the pixel values ​​of the two reference pixel points; according to the relationship between the pixel value P of the current pixel point and the pixel value of the two reference pixel points, Selecting a corresponding residual encoding method to encode the residual of the current pixel; after the residual encoding of all the pixels of the image to be compressed is completed, the encoding parameters are updated. The invention improves and optimizes on the basis of the FELICS algorithm, guarantees the image compression ratio and simultaneously increases the decompression speed of the upper computer, and enables the algorithm operation speed to match the 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 ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com