Image deblocking using spatially adaptive wavelet thresholding

Yuttapong Rangsanseri; Punya Thitimajshima; Siriporn Dachasilaruk

doi:10.1117/12.386669

30 May 2000 Image deblocking using spatially adaptive wavelet thresholding

Yuttapong Rangsanseri, Punya Thitimajshima, Siriporn Dachasilaruk

Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386669
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia

Abstract

Low bit rate image coding is essential for many visual communication applications. However, it yields visually annoying artifacts that highly degrade the perceptual quality of image data. In this paper we proposed a novel method for reducing the blocking artifact that occurs when using DCT image coding at low bit rates. The blocking artifact has varied visibility in different region, that it, it is more visible in a smooth region than detailed region such as textures and edges. Hence, the proposed method is based on image segmentation and then thresholding the coefficients of different regions with adaptive thresholds. The proposed method gives consistent improvement over the previous methods for deblocking in term of peak signal-to- noise ratio, edge variance, and visual quality.

Citation Download Citation

Yuttapong Rangsanseri, Punya Thitimajshima, and Siriporn Dachasilaruk "Image deblocking using spatially adaptive wavelet thresholding", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386669

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available