Recursively weighting pixel domain intra prediction on H.264

Hideaki Kimata; Masaki Kitahara; Yoshiyuki Yashima

doi:10.1117/12.501045

23 June 2003 Recursively weighting pixel domain intra prediction on H.264

Hideaki Kimata, Masaki Kitahara, Yoshiyuki Yashima

Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.501045
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland

Abstract

Intra coding for lossy block base transform video coding and still picture coding has been studied. In H.264, pixel domain prediction is applied, where all pixel values in a block are predicted from decoded images in surrounding blocks. There are some advantages in pixel domain prediction comparing with DCT domain prediction. One thing is that in pixel domain prediction, residual data at block boundaries becomes smaller. On the other hand, in pixel base prediction scheme for lossless coding, each pixel value is predicted from surrounding pixels generally. In Multiplicative Autoregressive Models (MAR) or JPEG-LS, each pixel is predicted from some neighboring pixels. This pixel base prediction scheme is more effective to reduce prediction error than block base prediction. In this paper, the new intra prediction method, Recursively Weighting pixel domain Intra Prediction (RWIP) method for block base transform coding is proposed. The RWIP applies similar approach to pixel base prediction scheme in order to reduce prediction error more than the conventional block base prediction scheme, especially for blur or complicated directional edge images. This paper also demonstrates the efficiency of the RWIP over the normal intra prediction of H.264.

Citation Download Citation

Hideaki Kimata, Masaki Kitahara, and Yoshiyuki Yashima "Recursively weighting pixel domain intra prediction on H.264", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.501045

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