Paper Info
Title
Detection method and filters for blocking effect reduction of highly compressed images
Abstract
Image compression plays a pivotal role in minimizing the data size and reduction in transmission costs. Many coding techniques have been developed, but the most effective is the JPEG compression. However, the reconstructed images from JPEG compression produce noticeable image degradations near block boundaries called blocking artifacts, particularly in highly compressed images. A method to detect and reduce these artifacts without smoothing images and without removing perceptual features has been presented in this paper. In this work, a low computational deblocking filter with four modes is proposed, including three frequency-related modes (smooth, non-smooth, and intermediate) and a corner mode for the corner of four blocks. Extensive experiments and comparison with other deblocking methods have been conducted on the basis of PSNR, MSSIM, SF, and MOS to justify the effectiveness of the proposed method. The proposed algorithm keeps the computation lower and achieves better detail preservation and artifact removal performance.
Year
DOI
Venue
2011
10.1016/j.image.2011.04.002
Sig. Proc.: Image Comm.
Keywords
Field
DocType
smoothing image,sf,jpeg compression,corner mode,detection method,reconstructed image,artifact removal performance,noticeable image degradation,deblocking method,image compression,proposed algorithm,dct,effect reduction,psnr,mos,blocking artifacts
Computer vision,Blocking effect,Computer science,Discrete cosine transform,Theoretical computer science,Coding (social sciences),Smoothing,Artificial intelligence,Jpeg compression,Image compression,Deblocking filter,Computation
Journal
Volume
Issue
ISSN
26
8-9
Signal Processing: Image Communication
Citations 
PageRank 
References 
1
0.37
21
Authors
4
Name
Order
Citations
PageRank
Jagroop Singh141.12
Sukhwinder Singh28311.31
Dilbag Singh36715.16
moin uddin4215.91