Multi-resolution perception-optimized image compression based on JPEG2000 and visibility thresholds

Feng Liu; Shiang Zhang; Shuang Zhang

doi:10.1117/12.2589334

27 January 2021 Multi-resolution perception-optimized image compression based on JPEG2000 and visibility thresholds

Feng Liu, Shiang Zhang, Shuang Zhang

Proceedings Volume 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020); 117201N (2021) https://doi.org/10.1117/12.2589334
Event: Twelfth International Conference on Graphics and Image Processing, 2020, Xi'an, China

Abstract

The image compression based on visual quality has got great interest over the past two decades. Meanwhile, it usually requires multi-resolution for the image code streams to browse images using electronical device. Recently, the image encoding respective to the above two factors become an attractive research area and gets great practical attractions in large image remote browsing scenarios, such as the pathology telemedicine. In this paper, we propose a visibility threshold model and an encoder based on measured HVS sensitivities and JPEG2000 standard. The proposed encoder can efficiently optimize the code stream on both HVS perception-based quality and display resolution. Moreover, the resulting code streams can be decoded with any JPEG2000 Part-I compliant decoder.

Citation Download Citation

Feng Liu, Shiang Zhang, and Shuang Zhang "Multi-resolution perception-optimized image compression based on JPEG2000 and visibility thresholds", Proc. SPIE 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020), 117201N (27 January 2021); https://doi.org/10.1117/12.2589334

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