Low complexity scheme with JPEG-LS for near-lossless, multi-component and selective compression

Yakup Murat Mert

doi:10.1117/12.2262272

1 May 2017 Low complexity scheme with JPEG-LS for near-lossless, multi-component and selective compression

Yakup Murat Mert

Proceedings Volume 10223, Real-Time Image and Video Processing 2017; 102230J (2017) https://doi.org/10.1117/12.2262272
Event: SPIE Commercial + Scientific Sensing and Imaging, 2017, Anaheim, CA, United States

Abstract

This study focuses on improving capabilities of a single-band lossless JPEG-LS encoder with a preprocessing unit. Main motivation is preserving its genuine low complexity that enables high-throughput hardware implementations. Although JPEG-LS standard describes procedures for near-lossless and multicomponent compression, a conveniently designed preprocessor unit can easily bestow any single-band lossless JPEG-LS encoder gain these capabilities without change on itself. Similarly, its compression performance can be improved with selective compression. Idea depends on the detection of regions out-of-interest (cloud, snow etc.) employing their distinct spectral signature and remapping pixels in these regions so that highest compression with the JPEG-LS can be yielded based on its algorithm. Regions out-ofinterest can be compressed regardless of the outcome quality as they contain no significant information. Through analyses are achieved on satellite images for the preprocess approaches with software. Besides, designed preprocessor unit is implemented with field-programmable-gate-array (FPGA) and implementation details are provided.

Citation Download Citation

Yakup Murat Mert "Low complexity scheme with JPEG-LS for near-lossless, multi-component and selective compression", Proc. SPIE 10223, Real-Time Image and Video Processing 2017, 102230J (1 May 2017); https://doi.org/10.1117/12.2262272

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