Title :
Embedded SLCCA for wavelet image coding
Author :
Lan, Junqiang ; Zhuang, Xinhua
Author_Institution :
Dept. of Comput. Eng. & Comput. Sci., Missouri Univ., USA
Abstract :
In 1997, we published a high performance scalable bit-rate-oriented wavelet image codec, significance linked connected component analysis (SLCCA). In term of coding efficiency, SLCCA outperforms EZW, SPHIT and JPEG2000, which are each an embedded image codec. SLCCA is optimized for any given bit rate. Although scalable, its coded bit stream is not fully embedded. In the paper, we provide an embedded SLCCA, which improves our previous work on embedded SLCCA. Like, we define a base layer and an enhancement layer for an image. The base layer encoded by SLCCA provides an acceptable image quality while achieving high coding efficiency and scalability. The enhancement layer provides more elaborate bit-rate adaptive granular picture quality enhancement for embedded image coding. The peak signal to noise ratio (PSNR) of the new embedded SLCCA (called ESLCCA) consistently outperforms JPEG2000 that can be as high as 0.5 dB.
Keywords :
image coding; transform coding; wavelet transforms; 0.5 dB; adaptive granular picture quality enhancement; bit-rate-oriented wavelet image codec; embedded image coding; peak signal to noise ratio; significance linked connected component analysis; wavelet image coding; Bit rate; Codecs; Image analysis; Image coding; Image quality; PSNR; Performance analysis; Scalability; Streaming media; Wavelet analysis;
Conference_Titel :
Multimedia and Expo, 2003. ICME '03. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7965-9
DOI :
10.1109/ICME.2003.1221627