Blocking artifacts reduction in image coding based on minimum block boundary discontinuity

Byeungwoo Jeon; Jechang Jeong; Jae Moon Jo

doi:10.1117/12.206723

21 April 1995 Blocking artifacts reduction in image coding based on minimum block boundary discontinuity

Byeungwoo Jeon, Jechang Jeong, Jae Moon Jo

Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206723
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan

Abstract

This paper proposes a novel blocking artifacts reduction method which is based on the notion that the blocking artifacts are present in images due to heavy accuracy loss of transform coefficients in the quantization process. We define the block boundary discontinuity measure as the sum of the squared differences of pixel values along the block boundary. The proposed method makes correction of the selected transform coefficients so that the resultant image has minimum block boundary discontinuity. It does not specify a transform domain where the correction should take place, therefore an appropriate transform domain can be selected at user's discretion. In the experiments, the scheme is applied to DCT- based compressed images to show its performance.

Citation Download Citation

Byeungwoo Jeon, Jechang Jeong, and Jae Moon Jo "Blocking artifacts reduction in image coding based on minimum block boundary discontinuity", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206723

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