High-Quality DCT-Based Image Compression Using Partition Schemes

Author

Ponomarenko, Nikolay N. ; Egiazarian, Karen O. ; Lukin, Vladimir V. ; Astola, Jaakko T.

Author_Institution

Dept. of Transmitters, Receivers, & Signal Process., Nat. Aerosp. Univ., Kharkov

Volume

14

Issue

2

fYear

2007

Firstpage

105

Lastpage

108

Abstract

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

Keywords

arithmetic codes; data compression; discrete cosine transforms; filtering theory; image coding; rate distortion theory; wavelet transforms; JPEG2000; bit-plane coding; discrete cosine transform; dynamical arithmetical coding; high-quality DCT; image compression; modified horizontal-vertical partition scheme; post-filtering; rate-distortion partition scheme; wavelet-based image coder; Context modeling; Decoding; Discrete cosine transforms; Discrete wavelet transforms; Flowcharts; Image coding; Rate-distortion; Signal processing; Testing; Transform coding; Discrete cosine transform (DCT); image compression; partition schemes (PS);

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2006.879861

Filename

4063364