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Proceedings Paper

Low-complexity hierarchical lapped transform for lossy-to-lossless image coding in JPEG XR / HD Photo
Author(s): Chengjie Tu; Sridhar Srinivasan; Gary J. Sullivan; Shankar Regunathan; Henrique S. Malvar
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Paper Abstract

JPEG XR is a draft international standard undergoing standardization within the JPEG committee, based on a Microsoft technology known as HD Photo. One of the key innovations in the draft JPEG XR standard is its integer-reversible hierarchical lapped transform. The transform can provide both bit-exact lossless and lossy compression in the same signal flow path. The transform requires only a small memory footprint while providing the compression benefits of a larger block transform. The hierarchical nature of the transform naturally provides three levels of multi-resolution signal representation. Its small dynamic range expansion, use of only integer arithmetic and its amenability to parallelized implementation lead to reduced computational complexity. This paper provides an overview of the key ideas behind the transform design in JPEG XR, and describes how the transform is constructed from simple building blocks.

Paper Details

Date Published: 13 September 2008
PDF: 12 pages
Proc. SPIE 7073, Applications of Digital Image Processing XXXI, 70730C (13 September 2008); doi: 10.1117/12.797097
Show Author Affiliations
Chengjie Tu, Microsoft Corp. (United States)
Sridhar Srinivasan, Microsoft Corp. (United States)
Gary J. Sullivan, Microsoft Corp. (United States)
Shankar Regunathan, Microsoft Corp. (United States)
Henrique S. Malvar, Microsoft Corp. (United States)

Published in SPIE Proceedings Vol. 7073:
Applications of Digital Image Processing XXXI
Andrew G. Tescher, Editor(s)

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