Paper Info
Title
A New Deblocking Algorithm Based on Adjusted Contourlet Transform
Abstract
A new postprocessing method based on adjusted contourlet transform is introduced in this paper for suppressing blocking artifacts (BA) in block-based discrete cosine transform (BDCT) compressed images. To our best knowledge, this is the first time contourlet is applied to this field. By exploiting scale space edge detector (ss-edge detector), our algorithm can extract and protect blocking map (BM) and edge map (EM) in the compressed image respectively in the same time. By transforming the compressed image into adjusted contourlet domain, the adaptive thresholds are obtained according to BM. According to the adaptive thresholds, the contourlet coefficients in different subbands are filtered. Experimental results show that our deblocking algorithm achieves better performance than the other iterative and noniterative methods reported in the literature
Year
DOI
Venue
2006
10.1109/ICME.2006.262569
ICME
Keywords
Field
DocType
image coding,blocking artifact suppression,coding errors,data compression,postprocessing method,deblocking algorithm,discrete cosine transforms,feature extraction,adjusted contourlet transform,block-based discrete cosine transform,edge detection,protect blocking map extraction,bdct,scale space edge detector,image compression,image segmentation,adaptive thresholding,filter bank,algorithm design and analysis,scale space,noise reduction,detectors
Edge detection,Computer science,Discrete cosine transform,Scale space,Image segmentation,Artificial intelligence,Deblocking filter,Contourlet,Computer vision,Algorithm design,Pattern recognition,Algorithm,Image compression
Conference
ISBN
Citations 
PageRank 
1-4244-0367-7
0
0.34
References 
Authors
11
5
Name
Order
Citations
PageRank
Haohao Song1262.35
Yu Song235652.74
Chen Wang322.36
Li Song464.39
Hongkai Xiong551282.84