A Contourlet-Based Embedded Image Coding Scheme on Low Bit-Rate

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概要

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• Contourlet transform (CT) is a new image representation method, which can efficiently represent contours and textures in images. However, CT is a kind of overcomplete transform with a redundancy factor of 4/3. If it is applied to image compression straightforwardly, the encoding bit-rate may increase to meet a given distortion. This fact baffles the coding community to develop CT-based image compression techniques with satisfactory performance. In this paper, we analyze the distribution of significant contourlet coefficients in different subbands and propose a new contourlet-based embedded image coding (CEIC) scheme on low bit-rate. The well-known wavelet-based embedded image coding (WEIC) algorithms such as EZW, SPIHT and SPECK can be easily integrated into the proposed scheme by constructing a virtual low frequency subband, modifying the coding framework of WEIC algorithms according to the structure of contourlet coefficients, and adopting a high-efficiency significant coefficient scanning scheme for CEIC scheme. The proposed CEIC scheme can provide an embedded bit-stream, which is desirable in heterogeneous networks. Our experiments demonstrate that the proposed scheme can achieve the better compression performance on low bit-rate. Furthermore, thanks to the contourlet adopted in the proposed scheme, more contours and textures in the coded images are preserved to ensure the superior subjective quality.

• （社）電子情報通信学会の論文
• 2008-09-01

著者

• Yu Songyu

  Institute Of Image Communication And Information Processing Ee Dept. Shanghai Jiao Tong University

• SONG Haohao

  Third Research Institute of Ministry of Public Security

• Song Haohao

  Mps Quality Supervision And Testing Center Of Security Products For Computer Information System Shan

関連論文

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• Network TV Broadcasting with Multi-Programs on Application-Oriented QoS(Broadcast Systems)
• A Contourlet-Based Embedded Image Coding Scheme on Low Bit-Rate

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