Name
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 ar- tifacts 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. Index Terms—Discrete cosine transform (DCT), image compres- sion, partition schemes (PS). |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/LSP.2006.879861 | Signal Processing Letters, IEEE |
Keywords | Field | DocType |
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,Discrete cosine transform (DCT),image compression,partition schemes (PS) | Pattern recognition,Discrete cosine transform,JPEG,Artificial intelligence,Quantization (image processing),JPEG 2000,Data compression,Mathematics,Image compression,Wavelet,Wavelet transform | Journal |
Volume | Issue | ISSN |
14 | 2 | 1070-9908 |
Citations | PageRank | References |
8 | 0.67 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nikolay N. Ponomarenko | 1 | 435 | 28.83 |
| Karen O. Egiazarian | 2 | 16 | 1.25 |
| Lukin, Vladimir V. | 3 | 14 | 2.34 |
| J. Astola | 4 | 1174 | 138.74 |