Perceptual encoding optimization for JPEG XR image coding using spatially adaptive quantization step size control

Daniel Schonberg; Gary J. Sullivan; Shijun Sun; Zhi Zhou

doi:10.1117/12.830636

2 September 2009 Perceptual encoding optimization for JPEG XR image coding using spatially adaptive quantization step size control

Daniel Schonberg, Gary J. Sullivan, Shijun Sun, Zhi Zhou

Author Affiliations +

Proceedings Volume 7443, Applications of Digital Image Processing XXXII; 74430M (2009) https://doi.org/10.1117/12.830636
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States

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.

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Daniel Schonberg, Gary J. Sullivan, Shijun Sun, and Zhi Zhou "Perceptual encoding optimization for JPEG XR image coding using spatially adaptive quantization step size control", Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 74430M (2 September 2009); https://doi.org/10.1117/12.830636

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