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Research on Still Image Compression Based on Wavelet Transform

Author: LiLiang
Tutor: MaHaiBo
School: Dalian Jiaotong University
Course: Applied Computer Technology
Keywords: Image Compression Wavelet Transform Wavelet Properties SPIHT EZW
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 154
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Abstract


With the record description of the development of information and network technology , images and other media information storage and transmission in the forward direction of digitization , efficient image compression and transmission to more and more people's attention , therefore , the image compression technology to become internationally popular research topic. The wavelet transform has a good local characteristics and the spatial frequency characteristics , and having the ability to describe the non - stationary image signals and to adapt to the good performance characteristics of the human eye . Therefore, in high-performance image compression coding field has been widely studied and applied . Based on image compression coding theory research , from a theoretical depth detail described the concept as well as the image of the wavelet transform wavelet transform method , wavelet transform color image and the VC environment . Wavelet transform image data on the characteristics of the structure , it is precisely these characteristics laid the foundation for efficient wavelet encoding algorithm . Wavelet properties on image compression , for example, Daubechies wavelet be summarized by a large number of experiments , obtained different attributes and different values ??of the image compression to identify a suitable property values ??and the corresponding optimal wavelet . Embedded zerotree wavelet coding (Embedded Zerotree Wavelet, EZW) algorithm is a milestone in the study of wavelet image coding has high theoretical and practical value . The paper in-depth analysis of the principles and steps of the EZW algorithm , illustrate the implementation process of the algorithm in Matlab simulation to achieve . The next collection of multi-level tree split (Set Partitioning in Hierarchical Trees, SPIHT) algorithm principle and steps to make a detailed explanation SPIHT algorithm simulation is achieved , for the case of lossy compression , low bit rate , recovery relatively fuzzy image of the shortcomings of the improved method . Finally , by experiment with the original algorithm , at low bit rates , the paper the improvements made is very effective , PSNR values ??increased. In addition, during the experiment found that the DC level shift on the input image , can also to a certain extent improve the PSNR value not increased , but time consuming .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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