32Still Image Compression Algorithm Based on Directional Filter Banks | Zendy

Chunling Yang | Zendy; Duanwu Cao | Zendy; Li Ma | Zendy

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32Still Image Compression Algorithm Based on Directional Filter Banks

Author(s) -

Chunling Yang,

Duanwu Cao,

Li Ma

Publication year - 2010

Publication title -

international journal of information technology and computer science

Language(s) - English

Resource type - Journals

eISSN - 2074-9015

pISSN - 2074-9007

DOI - 10.5815/ijitcs.2010.02.04

Subject(s) - ringing artifacts , computer science , ringing , wavelet , algorithm , image compression , artificial intelligence , weighting , jpeg 2000 , filter (signal processing) , computer vision , quantization (signal processing) , wavelet transform , discrete cosine transform , image (mathematics) , image processing , medicine , radiology

Hybrid wavelet and directional filter banks (HWD) is an effective multi-scale geometrical analysis method. Compared to wavelet transform, it can better capture the directional information of images. But the ringing artifact, which is caused by the coefficient quantization in transform domain, is the biggest drawback of image compression algorithms in HWD domain. In this paper, by researching on the relationship between directional decomposition and ringing artifact, an improved decomposition approach of HWD(IHWD) is proposed to reduce the ringing artifact. In addition, the IHWD algorithm and directional weighting model is applied into the JPEG2000 coding framework, and a new still image compression algorithm IJPEG2000 is proposed. The experimental results show that IJPEG2000 has better performance than JPEG2000 whether on objective evaluation method or on subjective visual feeling.

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