Separate texture and structure processing for image compression

V. A. Frantc; S. V. Makov; V. V. Voronin; V. I. Marchuk; I. S. Svirin

doi:10.1117/12.2223628

9 June 2016 Separate texture and structure processing for image compression

V. A. Frantc, S. V. Makov, V. V. Voronin, V. I. Marchuk, I. S. Svirin

Proceedings Volume 9874, Remotely Sensed Data Compression, Communications, and Processing XII; 98740T (2016) https://doi.org/10.1117/12.2223628
Event: SPIE Commercial + Scientific Sensing and Imaging, 2016, Baltimore, MD, United States

Abstract

In the paper we propose approach for lossless image compression. Proposed method is based on separate processing of two image components: structure and texture. In the subsequent step separated components are compressed by standard RLE/LZW coding. We have performed a comparative analysis with existing techniques using standard test images. Our approach have shown promising results.

Citation Download Citation

V. A. Frantc, S. V. Makov, V. V. Voronin, V. I. Marchuk, and I. S. Svirin "Separate texture and structure processing for image compression", Proc. SPIE 9874, Remotely Sensed Data Compression, Communications, and Processing XII, 98740T (9 June 2016); https://doi.org/10.1117/12.2223628

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