Journal of Computer Science

Performance, Analysis of Filtering Schedule Using Deblocking Filter for the Reduction of Block Artifacts from MPEQ Compressed Document Images

M. Anto Bennet and I. Jacob Raglend

DOI : 10.3844/jcssp.2012.1447.1454

Journal of Computer Science

Volume 8, Issue 9

Pages 1447-1454

Abstract

Problem statement: The visual effects of blocking artifacts can be reduce by using deblocking filter. Also with out smoothing the natural edges,the perceived quality of video sequence can be enchanced. This study propose a method to remove blocking artifacts in low bit-rate block based video coding. Approach: The proposed algorithm has two separate filtering modes, which are selected by pixel behavior around the block boundary. In each mode, proper one-dimensional filtering operations are performed across the block boundary along horizontal and vertical directions, respectively. In the first mode corresponding flat regions, a strong filter is applied inside the block as well as on the block boundary, because the flat regions are more sensitive to the Human Visual System (HVS) and the artifacts propagated from the previous frame due to motion compensation are distributed inside the block. In the second mode corresponding to other regions, a sophisticated smoothing filter, which is based on the frequency information around block boundaries, is used to reduce blocking artifacts adaptively without introducing undesired blur. Even though the proposed deblocking filter is quite simple, it improves both subjective and objective image quality for various image features. Results and Conclusion: Deblocking filter improves the PSNR of about 0.1 dB for video encoded using MPEG-4 and H.264 without using its own in-loop deblocking filter. It has proven to be good in the reduction of the very annoying blocking artifacts caused by video compression.

Copyright

© 2012 M. Anto Bennet and I. Jacob Raglend. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.