Paper Info
Title
Postprocessing algorithm in block-based coded images using wavelet transform and adaptive MLP
Abstract
A novel postprocessing algorithm for reducing the blocking artifacts in block-based coded images is proposed using an adaptive neural network filter (NNF) in the wavelet transform domain. We use two characteristics, knowing the positions of the blocking artifacts in each band and discriminating between the horizontal and the vertical blocking artifacts using the wavelet transformed signals. At first, after performing a 3-level wavelet transform of the decompressed image, a different one-dimensional (1D) or 2D NNF is used to reduce the blocking artifacts according to the characteristic of each level. Experimental results show that the proposed algorithm produces better results than those of conventional algorithms, both subjectively and objectively.
Year
DOI
Venue
2002
10.1109/ICME.2002.1035744
ICME (1)
Keywords
Field
DocType
neural network,image coding,wavelet transforms,postprocessing algorithm,block-based coded images,blocking artifacts,multilayer perceptrons,transform coding,adaptive mlp,adaptive filters,wavelet transform,adaptive filter,computer networks,computer science,neural networks,data structures,boolean functions
Harmonic wavelet transform,Computer science,Fast wavelet transform,Discrete wavelet transform,Artificial intelligence,Wavelet packet decomposition,Wavelet,Wavelet transform,Computer vision,Pattern recognition,Algorithm,Second-generation wavelet transform,Stationary wavelet transform
Conference
Volume
Citations 
PageRank 
1
0
0.34
References 
Authors
4
6
Name
Order
Citations
PageRank
Kee-Koo Kwon1256.26
Byung-Ju Kim281.77
Suk Hwan Lee3408.95
Jongwon Lee47821.92
Seong Geun Kwon5223.83
Kuhn-il Lee65511.13