Image compression method applying improved bandelet transformation

A strip wave transform and image compression technology, applied in image communication, image coding, image data processing and other directions, can solve the problems of complex mathematical calculation of strip wave transform, and achieve improved coding efficiency, compression ratio and high peak value. The effect of the signal-to-noise ratio

Inactive Publication Date: 2014-02-05
CHINA UNIV OF MINING & TECH (BEIJING)
View PDF1 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The object of the present invention is to provide a kind of image compression method that improves striplet transform, and this method is to combine striplet transform and embedded zero tree wavelet coding together, can solve the problem that striplet transform is more complex in mathematical calculation problem, and can effectively reduce the compression time, and obtain better peak signal-to-noise ratio (PSNR) and compression rate

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
  • Image compression method applying improved bandelet transformation
  • Image compression method applying improved bandelet transformation
  • Image compression method applying improved bandelet transformation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0029] Image compression uses the tool MATLAB, and firstly describes the flow chart of the image compression method for improving striplet transform.

[0030] Such as figure 1 , the concrete steps of the inventive method are as follows:

[0031] (1) Input the image f(m, n), apply the formula to the image Carry out two-dimensional wavelet transform;

[0032] (2) The threshold T for subdividing small blocks is set, and the T set in the present embodiment is: the width is 4 pixels, and the size is 4*4;

[0033] (3) Carry out quadtree subdivision on the two-dimensional wavelet transform results of (1), determine the vector line of each subdivided block, and find the optimal river direction, the smaller the threshold T is set, the subdivided quadtree The finer the tree structure, the smaller the subdivided blocks obtained;

[0034] (3) Projectively transform...

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 compression method applying improved bandelet transformation. According to the image compression method, original bandelet transformation and embedded zerotree wavelet coding are combined. The image compression method comprises the steps of firstly performing the bandelet transformation on an image, then using the embedded zerotree wavelet coding to encode and decode bandelet coefficients and finally achieving the effects of image compression. The algorithm is optimized in image compression effect, the image compression ratio and the PSNR are enhanced, and compression time is shortened.

Description

technical field [0001] The present invention relates to an improved image compression method, in particular to an improved image compression method of striplet transform. Background technique [0002] With the continuous improvement of communication services in the modern information society, the display effect of images is getting better and better, but the space occupied is correspondingly larger, and the amount of uncompressed image data is very large, which causes many problems for image storage and transmission. Therefore, the problem of image compression has become a research hotspot in the field of digital image processing in recent years. The purpose of image compression is to minimize the amount of data required to represent digital images and the redundancy between data. Although wavelet transform has frequency compression characteristics and space domain compression characteristics, wavelet transform cannot make full use of it in high-dimensional signal processing...

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 Applications(China)
IPC IPC(8): H04N19/63G06T9/40
Inventor 刘晓阳张红艳
Owner CHINA UNIV OF MINING & TECH (BEIJING)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products