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This letter presents an advanced discrete cosine transform (DCT)-based image compression method that combines advantages of several approaches. First, an image is divided into blocks of different sizes by a rate-distortion-based modified horizontal-vertical partition scheme. Statistical redundancy of quantized DCT coefficients of each image block is reduced by a bit-plane dynamical arithmetical coding with a sophisticated context modeling. Finally, a post-filtering removes blocking artifacts in decompressed images. The proposed method provides significantly better compression than JPEG and other DCT-based techniques. Moreover, it outperforms JPEG2000 and other wavelet-based image coders
Published in:
Signal Processing Letters, IEEE
(Volume:14
,
Issue:
2
)
Date of Publication: Feb. 2007
- Page(s):
- 105 - 108
- ISSN :
- 1070-9908
- INSPEC Accession Number:
- 9254721
- Digital Object Identifier :
- 10.1109/LSP.2006.879861
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 15 January 2007
- Issue Date :
- Feb. 2007
- Sponsored by :
- IEEE Signal Processing Society
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