DocumentCode :
1939238
Title :
Adaptive post-processing for region-based fractal image compression
Author :
Chang, Yung-Ching ; Shyu, Bin-Kai ; Cho, Chuan-Yu ; Wang, Jia-Shung
Author_Institution :
Dept. of Comput. Sci., Tsinghua Univ., Beijing, China
fYear :
2000
fDate :
2000
Firstpage :
549
Abstract :
Summary form only given. Region-based fractal image compression (Chang et al., 1997) is an attractive variation of fractal image compression algorithm. By segmenting an image into variable sizes of quadtree blocks and then merging these blocks into regions, this algorithm has the potential to encode a still image with a very low bit rate. However, highly visible artifacts become annoying when the coding bit rate is low. A large number of studies have been done in the literature to improve the reconstructed image quality at low bit rates. In this paper, an adaptive image enhancement algorithm for region-based fractal image compression is proposed. By utilizing an algorithm to determine which pixels have to be smoothed, then applying different smoothing filters for various image areas, the proposed algorithm can significantly eliminate the annoying blocking artifacts for images coded with low bit rate
Keywords :
adaptive codes; adaptive filters; data compression; fractals; image coding; image enhancement; image reconstruction; image segmentation; quadtrees; smoothing methods; Lena image; adaptive post-processing; blocking artifacts; image enhancement algorithm; improved PSNR; quadtree blocks; reconstructed image quality; region-based fractal image compression; smoothing filters; still image; visible artifacts; Bit rate; Fractals; Image coding; Image enhancement; Image quality; Image reconstruction; Image segmentation; Merging; Pixel; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 2000. Proceedings. DCC 2000
Conference_Location :
Snowbird, UT
ISSN :
1068-0314
Print_ISBN :
0-7695-0592-9
Type :
conf
DOI :
10.1109/DCC.2000.838196
Filename :
838196
Link To Document :
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