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Proceedings Paper

Perceptual encoding optimization for JPEG XR image coding using spatially adaptive quantization step size control
Author(s): Daniel Schonberg; Gary J. Sullivan; Shijun Sun; Zhi Zhou
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Paper Abstract

JPEG XR, a new international standard for image coding, was approved as ITU-T Recommendation T.832 in March 2009, and as ISO/IEC international standard 29199-2 in July 2009. JPEG XR was designed based on Microsoft coding technology known as HD Photo. Since JPEG XR is an emerging new specification, exploration of advanced encoding techniques for JPEG XR is an important area of study. In order to advance understanding of JPEG XR and its capabilities, the development of enhanced encoding techniques for optimization of encoded JPEG XR perceptual image quality is particularly valuable. This paper presents techniques and results focusing on exploring the capabilities of the spatially adaptive quantization syntax of the emerging JPEG XR standard.

Paper Details

Date Published: 2 September 2009
PDF: 12 pages
Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 74430M (2 September 2009); doi: 10.1117/12.830636
Show Author Affiliations
Daniel Schonberg, Microsoft Corp. (United States)
Gary J. Sullivan, Microsoft Corp. (United States)
Shijun Sun, Microsoft Corp. (United States)
Zhi Zhou, Microsoft Corp. (United States)


Published in SPIE Proceedings Vol. 7443:
Applications of Digital Image Processing XXXII
Andrew G. Tescher, Editor(s)

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