Rounding of improved DCT transform coding for H.266/VVC

Ka-Hou Chan; Sio-Kei Im

doi:10.1117/12.2601046

30 June 2021 Rounding of improved DCT transform coding for H.266/VVC

Ka-Hou Chan, Sio-Kei Im

Proceedings Volume 11878, Thirteenth International Conference on Digital Image Processing (ICDIP 2021); 1187828 (2021) https://doi.org/10.1117/12.2601046
Event: Thirteenth International Conference on Digital Image Processing, 2021, Singapore, Singapore

Abstract

Many video encoders use DCT transform coding to compress the encoded video. For hardware implementation, DCT will be approximately an integer matrix, which may cause some deviations in this process, and these deviations will accumulate and become obvious in the larger code unit. Our method is to construct all DCT-related discrete orthogonal transforms in the required size (corresponding to the coding unit supported by H.266/VVC). By using a novel discrete orthogonal matrix generation method with determined DCT-II roots, and scaling and rounding a regular DCT that depends on the quantization parameter, instead of integer approximation. We can obtain an accurate integer DCT matrix. Experimental results show that this method can not only improve the video quality and also require fewer bit rates.

Citation Download Citation

Ka-Hou Chan and Sio-Kei Im "Rounding of improved DCT transform coding for H.266/VVC", Proc. SPIE 11878, Thirteenth International Conference on Digital Image Processing (ICDIP 2021), 1187828 (30 June 2021); https://doi.org/10.1117/12.2601046

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