HD Photo: a new image coding technology for digital photography

Sridhar Srinivasan; Chengjie Tu; Shankar L. Regunathan; Gary J. Sullivan

doi:10.1117/12.767840

24 September 2007 HD Photo: a new image coding technology for digital photography

Sridhar Srinivasan, Chengjie Tu, Shankar L. Regunathan, Gary J. Sullivan

Proceedings Volume 6696, Applications of Digital Image Processing XXX; 66960A (2007) https://doi.org/10.1117/12.767840
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

Abstract

This paper introduces the HD Photo coding technology developed by Microsoft Corporation. The storage format for this technology is now under consideration in the ITU-T/ISO/IEC JPEG committee as a candidate for standardization under the name JPEG XR. The technology was developed to address end-to-end digital imaging application requirements, particularly including the needs of digital photography. HD Photo includes features such as good compression capability, high dynamic range support, high image quality capability, lossless coding support, full-format 4:4:4 color sampling, simple thumbnail extraction, embedded bitstream scalability of resolution and fidelity, and degradation-free compressed domain support of key manipulations such as cropping, flipping and rotation. HD Photo has been designed to optimize image quality and compression efficiency while also enabling low-complexity encoding and decoding implementations. To ensure low complexity for implementations, the design features have been incorporated in a way that not only minimizes the computational requirements of the individual components (including consideration of such aspects as memory footprint, cache effects, and parallelization opportunities) but results in a self-consistent design that maximizes the commonality of functional processing components.

Citation Download Citation

Sridhar Srinivasan, Chengjie Tu, Shankar L. Regunathan, and Gary J. Sullivan "HD Photo: a new image coding technology for digital photography", Proc. SPIE 6696, Applications of Digital Image Processing XXX, 66960A (24 September 2007); https://doi.org/10.1117/12.767840

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