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Research on Multi-View Image Coding Based on EMD and Fusion

Author: HePeiSi
Tutor: SunJiFeng
School: South China University of Technology
Course: Signal and Information Processing
Keywords: Multi-view image coding Empirical mode decomposition Image fusion Image disassembly Image compression
CLC: TN919.81
Type: Master's thesis
Year: 2011
Downloads: 52
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Abstract


Studies on multi-view video, which can provides three-dimensional(3D) vision are recently becoming increasingly popular due to advances in the 3D display technologies and the viewers’increasing demand on added realism and improved scene understanding. However, the data amount of multi-view video is several times of general video, so that it is extremely tough to transmit and store multi-view the data. To achieve high compression efficiency, co-relation between the different views must be exploited in multi-view video coding scheme. In this thesis, in order to improve coding efficiency, we select some images of multi-view video system in parallel viewpoints at a certain moment to study on color correction, image registration, image fusion, image disassembly and multi-view image compression coding scheme.Firstly, we review the status of existing coding schemes and find that most of them are based on redundancy removal. Considering the advantage of image fusion, we propose a novel fusion based coding scheme of multi-view image. That may bring higher compression rate with less missing information of the original image.Since the fusion result effect the performance of the coding scheme directly, we have to choose an appropriate image analysis tool. EMD (Empirical mode decomposition) is a highly efficient and adaptive method that offers higher frequency resolution and more accurate timing of signal events. According to the experiments, it performs well in image fusion. Therefore, we study on its principle, core technologies and use in processing image.With the proper tool, we make a special effort to study on EMD based image fusion and EMD based image compression coding. After learning the previous related researches and comparing the schemes, we propose our own coding scheme.Then we design the principle drawing of multi-view image coding, including color correction, image registration, image fusion, image disassembly and image compression coding. At the encoder, different sources of images are decomposed into IMFs and residue using EMD. The IMFs and residue are fused respectively, and then the fusion results are compressed and encoded based on EMD. At the decoder, the source images can be reconstructed by disassembling the fusion image. At last, computer simulation is executed according to the coding principle. Experimental results show, without reducing the image quality, the proposed scheme can provide better compression ratio than the previous ones, which open the doors for future applications.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Image communication, multimedia communication > Image coding
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