Strip wave transform image compression method based on graphics processor

A graphics processor and strip wave transformation technology, applied in image data processing, image communication, image coding, etc., can solve problems such as slow algorithm speed, achieve faster compression processing, overcome low compression ratio, and speed up the effect

Inactive Publication Date: 2014-07-02
XIDIAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Solve the problem of slow algorithm speed, and improve the peak signal-to-noise

Method used

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  • Strip wave transform image compression method based on graphics processor
  • Strip wave transform image compression method based on graphics processor
  • Strip wave transform image compression method based on graphics processor

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Embodiment Construction

[0048] The present invention will be further described below in conjunction with the accompanying drawings.

[0049] refer to figure 1 , the concrete steps that the present invention realizes are as follows:

[0050] Step 1, input the image to be compressed.

[0051] Input the image to be compressed, read the numerical matrix from the input image to be compressed, and transfer the numerical matrix from the internal memory to the video memory.

[0052] Step 2, wavelet transform.

[0053] The wavelet transform steps are as follows:

[0054] The first step is to calculate the number of iterations of the Haar wavelet transform according to the following formula,

[0055] N=log 2 (W)-3

[0056] Among them, N represents the number of iterations of the Haar wavelet transform, and W represents the width of the image to be compressed;

[0057] In the second step, the graphics processor performs one-dimensional Haar wavelet transform on each row element of the numerical matrix; ...

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Abstract

The invention provides a strip wave transform image compression method based on a graphics processor. The method overcomes the defects that in the prior art, the calculation quantity is large and the peak signal to noise ratio of compressed images is low. The method specifically includes the following steps of firstly, inputting an image to be compressed; secondly, conducting wavelet transform; thirdly, conducting Bandelet conversion; fourthly, conducting embedded zerotree wavelet coding and outputting a compressed file; fifthly, inputting the compressed file to be decompressed; sixthly, conducting decoding; seventhly, conducting Bandelet inverse transformation and outputting a reconstructed image. The method can effectively solve the problems that in the prior art, the compression speed is low, image detail characteristics can not be well kept and the peak signal to noise ratio is low, the detail characteristics of the image can be well reserved, the compression speed is increased, and the peak signal to noise ratio of the compressed image is increased.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a striplet transform image compression method based on a graphics processor in the technical field of image compression. It can be used in medical image processing, network image transmission, mobile multimedia and other fields. Background technique [0002] The purpose of image compression is to represent an image using as little data as possible. Image compression technology has broad application prospects in medical image processing, high-definition television, satellite remote sensing and other fields. The image itself contains a lot of information, but the image itself contains a lot of redundant information, such as: spatial redundancy caused by the correlation between adjacent pixels in the image, coding redundancy, and structural redundancy caused by the very strong texture structure in the image. Yu et al. Image compression is to remove the redundant inf...

Claims

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Application Information

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IPC IPC(8): H04N19/63H04N19/645H04N19/88G06T9/40
Inventor 韩红陈建洪汉梯李楠曹赛史媛媛刘三军
Owner XIDIAN UNIV
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