Bit-depth scalable coding for high dynamic range video

Shan Liu; Woo-Shik Kim; Anthony Vetro

doi:10.1117/12.766601

28 January 2008 Bit-depth scalable coding for high dynamic range video

Shan Liu, Woo-Shik Kim, Anthony Vetro

Proceedings Volume 6822, Visual Communications and Image Processing 2008; 68220O (2008) https://doi.org/10.1117/12.766601
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

This paper presents a technique for coding high dynamic range videos. The proposed coding scheme is scalable, such that both standard dynamic range and high dynamic range representations of a video can be extracted from one bit stream. A localized inverse tone mapping method is proposed for efficient inter-layer prediction, which applies a scaling factor and an offset to each macroblock, per color channel. The scaling factors and offsets are predicted from neighboring macroblocks, and then the differences are entropy coded. The proposed inter-layer prediction technique is independent of the forward tone mapping method and is able to cover a wide range of bit-depths and various color spaces. Simulations are performed based on H.264/AVC SVC common software and core experiment conditions. Results show the effectiveness of the proposed method.

Citation Download Citation

Shan Liu, Woo-Shik Kim, and Anthony Vetro "Bit-depth scalable coding for high dynamic range video", Proc. SPIE 6822, Visual Communications and Image Processing 2008, 68220O (28 January 2008); https://doi.org/10.1117/12.766601

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