An investigation of the partitioning of images with respect to compressibility and spatial complexity

Anjan Ghosh; Tamojay Deb

doi:10.1117/12.2633574

3 October 2022 An investigation of the partitioning of images with respect to compressibility and spatial complexity

Anjan Ghosh, Tamojay Deb

Proceedings Volume 12225, Optics and Photonics for Information Processing XVI; 122250B (2022) https://doi.org/10.1117/12.2633574
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States

Abstract

Analysis of two-dimensional spatial data is important for aerial surveys of crops and soils, reconnaissance, medical diagnosis, geographical information systems, and many other domains. Partitioning of images is helpful in the processing and analysis of spatial data. Investigations have shown that splitting an image into sub-images and compressing each sub-image using fewer calculations leads to a faster and more efficient method for the compression of the main image. The relationship between partitioning, spatial information, and the ease of compressing is explored in this paper.

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Anjan Ghosh and Tamojay Deb "An investigation of the partitioning of images with respect to compressibility and spatial complexity", Proc. SPIE 12225, Optics and Photonics for Information Processing XVI, 122250B (3 October 2022); https://doi.org/10.1117/12.2633574

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