Fractal image data compression based on wavelet coefficient subtrees

Hefei Zhang*, Yue Wang, Siyong Zhou

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

2 引用 (Scopus)

摘要

Aim To study the application of wavelet transformation and fractal coding in image compression. Methods Due to the self-similarity existing among the wavelet coefficients of the subbands with different resolutions and spatial orientations, fractal noncontractive affine mapping transformation was used to predict higher resolution subband wavelet coefficient subtrees with lower resolution ones to fully exploit this self-similarity, obtaining high efficient presentation of an image. Results Experiment results show that this scheme can obtain high compression ratio while keeping certain reconstruction image quality (e. g. PSNR=29. 08 dB and compression ratio 74.8). Conclusion This scheme can take full advantage of wavelet transformation coding and fractal coding and can provide a new insight on low bit rate image compression.

源语言英语
页(从-至)352-356
页数5
期刊Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
19
3
出版状态已出版 - 1999

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