Low-complexity integer transform and high-definition coding

Siwei Ma; Xiaopeng Fan; Wen Gao

doi:10.1117/12.563808

2 November 2004 Low-complexity integer transform and high-definition coding

Siwei Ma, Xiaopeng Fan, Wen Gao

Proceedings Volume 5558, Applications of Digital Image Processing XXVII; (2004) https://doi.org/10.1117/12.563808
Event: Optical Science and Technology, the SPIE 49th Annual Meeting, 2004, Denver, Colorado, United States

Abstract

In H.264/AVC, an integer 4×4 transform is used instead of traditional float DCT transform due to its low complexity and exact reversibility. Combined with the normalization for the integer transform together, a division-free quantization scheme is used in H.264/AVC. H.264/AVC is the most outstanding video coding standard at far. But at first H.264/AVC targets to low bit-rate coding, and almost all experimental results of the proposals for H.264/AVC are tested at low bit-rate. In the near, experimental results show that 8×8 transform can further improve the coding efficiency on high definition (HD) coding. In this paper a kind of 8×8 low complexity integer transforms are studied and corresponding quantization schemes are developed for HD coding. Compared with 4×4 transform/prediction based coder, the proposed 8×8 based coder can achieve better performance on HD coding while with much lower encoder/decoder complexity.

Citation Download Citation

Siwei Ma, Xiaopeng Fan, and Wen Gao "Low-complexity integer transform and high-definition coding", Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004); https://doi.org/10.1117/12.563808

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