Iterative blocking artifact reduction using a minimum mean square error filter in wavelet domain

Authors:
Ick Hoon Jang;Nam Chul Kim;Hyun Joo So
Affiliations:
Department of Electronic Engineering, Kyungwoon University, Kumi 730-850, South Korea;Laboratory for Visual Communications, Department of Electronic Engineering, Kyungpook National University, Taegu 702-701, South Korea;Laboratory for Visual Communications, Department of Electronic Engineering, Kyungpook National University, Taegu 702-701, South Korea
Venue:
Signal Processing
Year:
2003

Citing 9
Cited 3

Characterization of Signals from Multiscale Edges

IEEE Transactions on Pattern Analysis and Machine Intelligence
Marc Bekoff and Dale Jamieson, eds., Readings in Animal Cognition, Cambridge, MA: MIT Press, 1996, xv + 379 pp., $;30.00 (paper), ISBN 0-262-52208-X.

Minds and Machines
Artifact reduction in low bit rate DCT-based image compression

IEEE Transactions on Image Processing
A Bayesian approach for the estimation and transmission of regularization parameters for reducing blocking artifacts

IEEE Transactions on Image Processing
Improved image decompression for reduced transform coding artifacts

IEEE Transactions on Circuits and Systems for Video Technology
A deblocking algorithm for JPEG compressed images using overcomplete wavelet representations

IEEE Transactions on Circuits and Systems for Video Technology
Reduction of blocking artifact in block-coded images using wavelet transform

IEEE Transactions on Circuits and Systems for Video Technology
On the POCS-based postprocessing technique to reduce the blocking artifacts in transform coded images

IEEE Transactions on Circuits and Systems for Video Technology
An optimization approach for removing blocking effects in transform coding

IEEE Transactions on Circuits and Systems for Video Technology

Deblocking method using a percpetual recursive filter

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Deblocking filtering method using a perceptual map

Image Communication
Adaptive non-local means filter for image deblocking

Image Communication

Quantified Score

Hi-index	0.08

Visualization

Abstract

We propose an iterative algorithm for reducing the blocking artifact in block transform-coded images by using a minimum mean square error (MMSE) filter in wavelet domain. An image is considered to be a set of one-dimensional (1-D) horizontal and vertical signals and a 1-D wavelet transform (WT) is utilized in which the mother wavelet is the first-order derivative of a Gaussian-like function. Using an MMSE filter in the wavelet domain the blocking artifact is reduced by removing the component that causes the variance at the block boundary position in the first-scale wavelet domain to be abnormally high compared to those at the other positions and the variances at the positions near the block boundary position in the second-scale wavelet domain to be somewhat high. This filter minimizes the mean square error (MSE) between the ideal blocking component-free signal and the restored signal in the neighborhood of block boundaries in the wavelet domain. The filter also uses local variance in the wavelet domain for pixel adaptive processing. The filtering and the projection onto a convex set of quantization constraint are performed alternately and iteratively. Experimental results show the proposed method yields not only a PSNR improvement of about 0.5-1.07 dB, but also a subjective quality that is nearly free of the blocking artifact and edge blur.