DocumentCode :
3503673
Title :
An image compression scheme using wavelets-based edge extraction and low-frequency component expansion
Author :
Zan, Jinwen ; Zheng, Baoyu ; Zhu, Weiping
Author_Institution :
Beijing Univ. of Posts & Telecommun., China
Volume :
2
fYear :
1996
fDate :
14-18 Oct 1996
Firstpage :
974
Abstract :
A simplified Mallat (1989) algorithm is proposed to extract the edge information for image coding. An input image is first separated into a smoothed image that comprises low-frequency components only and an image for strong edge information. The low-frequency image and the edge one are then encoded by using the DCT and run-length algorithms, respectively. By using this strategy, the artifacts such as edge blur and block effects that are usually present in traditional DCT scheme especially at low bit rate, are overcome. It is shown that the proposed coding scheme not only gives a reconstructed image of high quality but enjoys a low computational complexity and a simple realization structure as well. Therefore, it is expected to be implemented easily with hardware
Keywords :
computational complexity; discrete cosine transforms; edge detection; image coding; image reconstruction; runlength codes; smoothing methods; statistical analysis; transform coding; visual perception; wavelet transforms; DCT; Mallat algorithm; edge information; human visual system; image coding; image compression; input image; low computational complexity; low frequency component expansion; low-frequency image; reconstructed image quality; runlength algorithm; smoothed image; statistical properties; wavelets based edge extraction; Bit rate; Discrete cosine transforms; Humans; Image coding; Image reconstruction; Image resolution; Multiresolution analysis; Signal resolution; Telecommunications; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
Type :
conf
DOI :
10.1109/ICSIGP.1996.566253
Filename :
566253
Link To Document :
بازگشت