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Image compression method based on wavelet transform and clonal selection algorithm

A technology of cloning selection algorithm and wavelet transform, which is applied in the direction of image communication, television, electrical components, etc., and can solve problems such as storage and transmission difficulties, unimaginable bandwidth and time, and data volume growth

Inactive Publication Date: 2013-04-17
DONGHUA UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

Especially in the field of satellite communications, with the improvement of the resolution of satellite remote sensing images, the amount of data increases sharply, which brings great difficulties to its storage and transmission.
If these image information are not properly processed, the bandwidth and time required to transmit them in a timely manner are unimaginable

Method used

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  • Image compression method based on wavelet transform and clonal selection algorithm
  • Image compression method based on wavelet transform and clonal selection algorithm

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Embodiment 1

[0035] First, the external image information is collected by the image data acquisition module 1 and sent to the LVDS to TTL module 2 for signal conversion, and then the synchronous FIFO module 3 stores the converted image signal in the SDRAM image buffer module 4, and the FPGA image data is compressed The image acquisition coding module 11 in the module 5 collects the image signal stored in the SDRAM image buffer module 4 and sends it to the SRAM buffer module 7, and the wavelet transform module 9 carries out wavelet exchange to the image signal stored in the SRAM buffer module 7, Use the global convergence capability of the clone selection algorithm module 8 to search for the global optimal solution and improve the convergence performance. During the wavelet transformation process of the wavelet transformation module 9, the appropriate optimal wavelet base is selected, and the wavelet transformation module 9 will recode The compressed image data is stored in the SRAM cache mo...

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Abstract

The invention relates to an image compression method based on wavelet transform and clonal selection algorithm. The image compression method based on the wavelet transform and the clonal selection algorithm comprises the following steps of: 1) an image data acquisition module collects external image information and sends the external image information to a LVDS (low voltage differential signaling) to TTL (transistor-transistor logic) module; 2) the LVDS to TTL module carries out signal transformation to the collected image information; 3) a synchronous FIFO (first in first out) module stores an image signal converted by the LVDS to TTL module to a SDRAM (synchronous dynamic random access memory) image cache module; 4) an FPGA (field programmable gate array) image data compression module carries out compressed encoding processing to pre-processed image information in the SDRAM image cache module; and 5) an image display module displays image information which is coded and compressed again in the FPGA image data compression module. According to the image compression method based on the wavelet transform and the clonal selection algorithm, which is disclosed by the invention, the image compression efficiency is improved, and the coding quality is high.

Description

technical field [0001] The invention relates to the technical field of digital image compression, in particular to an image compression method based on wavelet transform and clone selection algorithm. Background technique [0002] Today's society has entered the information age, and a large amount of information is stored, processed and transmitted digitally every day. One of the most common and important pieces of information is digital images. Digital image information, such as videophone, news picture transmission, integrated service digital network, satellite remote sensing, image transmission, picture retrieval, military satellite reconnaissance, public security inspection system, civilian TV, audio-visual teaching, etc., is widely used in various fields of social life and national economy. plays an important role. At the same time, enterprises and individuals have put forward higher and higher requirements for the storage, transmission and exchange of image informati...

Claims

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Application Information

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IPC IPC(8): H04N7/26H04N19/23H04N19/63
Inventor 巩小磊龚涛李龙朋杨琴郭长生
Owner DONGHUA UNIV
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