Adaptive Selection and Rearrangement of Wavelet Packets for Quad-Tree Image Coding

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概要

• 論文の詳細を見る

• Embedded zero-tree image coding in wavelet domain has drawn a lot of attention. Among noteworthy algorithms is the set partitioning in hierarchical trees (SPIHT). Typically, most of images energy is concentrated in low frequency subbands. For an image with textures, however many middle-high frequency wavelet coefficients are likely to become significant in the early passes of SPIHT; thus the coding results are often insufficient. Middle and high frequency subbands of images may demand further decompositions using adaptive basis functions. As wavelet packet transform offers a great diversity of basis functions, we propose a quadtree based adaptive wavelet packet transform to construct adaptive wavelet packet trees for zero-tree image coding. Experimental results show that coding performances can be significantly improved especially for fingerprints images.

• （社）電子情報通信学会の論文
• 2008-09-01

著者

• Sung Tze-yun

  Department Of Microelectronics Engineering Chung Hua University

• HSIN Hsi-Chin

  Department of Computer Science and Information Engineering, National United University

• Hsin Hsi-chin

  Department Of Computer Science And Information Engineering National United University

関連論文

• Adaptive Selection and Rearrangement of Wavelet Packets for Quad-Tree Image Coding
• A Hybrid Image Coder Based on SPIHT Algorithm with Embedded Block Coding(Image)
• Fixed-Point Error Analysis of CORDIC Arithmetic for Special-Purpose Signal Processors(Digital Signal Processing)
• An Efficient Rearrangement of Wavelet Packet Coefficients for Embedded Image Coding Based on SPIHT Algorithm(Digital Signal Processing)

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