Image deblocking based on multi-scale edge representation

Guangtao Zhai; Wenjun Zhang; Xiaokang Yang

doi:10.1117/12.652425

3 November 2005 Image deblocking based on multi-scale edge representation

Guangtao Zhai, Wenjun Zhang, Xiaokang Yang

Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 60430F (2005) https://doi.org/10.1117/12.652425
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

Abstract

We propose a deblocking algorithm using multi-scale edge representation of images. All block-based image/video coding methods suffer the annoying blocking artifacts at low bit rate. Blockings are considered as tiny edges occur at the borders of coding blocks in the directions of horizontal or vertical. These directional and magnitude specialties characterize blockings from other common edges in nature images, and can be reasonably used in the designing of deblocking algorithms. We decompose an image using dyadic wavelet transform and then find the local extrema of wavelet coefficients, which are corresponding to edge points. The extrema caused by blockings are eliminated using some predefined criteria. The de-blocked image can be reconstructed from those filtered extrema with a Projection Onto Convex Sets (POCS) method. Experimental results show that the proposed method can generate fairly well deblocking results under various bit rate conditions.

Citation Download Citation

Guangtao Zhai, Wenjun Zhang, and Xiaokang Yang "Image deblocking based on multi-scale edge representation", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60430F (3 November 2005); https://doi.org/10.1117/12.652425

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