On performance of lossless compression for HDR image quantized in color space

Author:

Fang Tao

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference12 articles.

1. High Dynamic Range Imaging;Reinhard,2005

2. JPEG ISO/IEC 10918-1 ITU-T Recommendation T.81.

3. ISO/IEC 15444-1:2000, Information technology – JPEG 2000 image coding system – Part 1: Core coding system, 2000.

4. M. J. Weinberger, G. Seroussi, G. Sapiro, LOCO-I: A low complexity, context-based, lossless image compression algorithm, in: Proceedings of 1996 Data Compression Conference, Snowbird, UT, March 1996, pp. 140–149.

5. The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS;Weinberger;IEEE Transactions on Image Processing,2000

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1. Lossless HDR Image Compression by Modulo Encoding;IETE Journal of Research;2023-05-11

2. Lossless Coding of HDR Color Images in a Floating Point Format Using Block-Adaptive Inter-Color Prediction;IEICE Transactions on Information and Systems;2021-10-01

3. LumNet;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2021-06-23

4. Lossless coding of HDR color images in a floating point format using block-adaptive prediction with exponent equalization;International Workshop on Advanced Imaging Technology (IWAIT) 2020;2020-06-01

5. Lossless Image Compression Exploiting Streaming Model for Efficient Execution on Multicores;Automatika;2012-01

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