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Transform optimization for the Lossy Coding of pathology whole-slide images
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Hernández-Cabronero, Miguel, Auli-Llinas, Francesc, Sanchez Silva, Victor and Serra-Sagrista, Joan (2016) Transform optimization for the Lossy Coding of pathology whole-slide images. In: IEEE Data Compression Conference, Utah, United States, 31 Mar - 01 Apr 2016. Published in: Proceedings of IEEE Data Compression Conference
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Official URL: https://signalprocessingsociety.org/blog/2016-data...
Abstract
Whole-slide images (WSIs) are high-resolution, 2D, color digital images that are becoming valuable tools for pathologists in clinical, research and formative scenarios. However, their massive size is hindering their widespread adoption. Even though lossy compression can effectively
reduce compressed file sizes without affecting subsequent diagnoses, no lossy coding scheme tailored for WSIs has been described in the literature. In this paper, a novel strategy called OptimizeMCT is proposed to increase the lossy coding performance for this type
of images. In particular, an optimization method is designed to find image-specific multicomponent transforms (MCTs) that exploit the high inter-component correlation present in WSIs. Experimental evidence indicates that the transforms yielded by OptimizeMCT consistently attain better coding performance than the Karhunen-Lo`eve Transform (KLT) for all tested lymphatic, pancreatic and renal WSIs. More specifically, images reconstructed at the same bitrate exhibit average PSNR values 2.85 dB higher for OptimizeMCT than for the KLT, with differences of up to 5.17 dB.
Item Type: | Conference Item (Paper) | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Journal or Publication Title: | Proceedings of IEEE Data Compression Conference | ||||
Publisher: | IEEE Computer Society Conference Publishing Services (CPS) | ||||
Official Date: | 24 January 2016 | ||||
Dates: |
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Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Date of first compliant deposit: | 4 August 2016 | ||||
Is Part Of: | EU Marie Curie CIG Programme under Grant PIMCO, the Engineering and Physical Sciences Research Council (EPSRC), UK, and by the Spanish Government (MINECO), FEDER, and the Catalan Government under Grants TIN2012-38102-C03-03 and 2014SGR-691. | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | IEEE Data Compression Conference | ||||
Type of Event: | Conference | ||||
Location of Event: | Utah, United States | ||||
Date(s) of Event: | 31 Mar - 01 Apr 2016 |
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