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Mosaic-based color-transform optimization for lossy and lossy-to-lossless compression of pathology whole-slide images
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Sanchez Silva, Victor, Hernández-Cabronero, Miguel, Blanes, Ian, Aulí-Llinàs, Francesc , Marcellin, Michael and Serra-Sagrista, Joan (2019) Mosaic-based color-transform optimization for lossy and lossy-to-lossless compression of pathology whole-slide images. Transactions on Medical Imaging, 38 (1). pp. 21-32. doi:10.1109/TMI.2018.2852685 ISSN 1558-254X.
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Official URL: https://doi.org/10.1109/TMI.2018.2852685
Abstract
The use of whole-slide images (WSIs) in pathology entails stringent storage and transmission requirements because of their huge dimensions. Therefore, image compression is an essential tool to enable efficient access to these data. In particular, color transforms are needed to exploit the very high degree of inter-component correlation and obtain competitive compression performance. Even though state-of-the-art color transforms remove some redundancy, they disregard important details of the compression algorithm applied after the transform. Therefore, their coding performance is not optimal.We propose an optimization method called Mosaic Optimization for designing irreversible and reversible color transforms simultaneously optimized for any given WSI and the subsequent compression algorithm. Mosaic Optimization is designed to attain reasonable computational complexity and enable continuous scanner operation. Exhaustive experimental results indicate that, for JPEG 2000 at identical compression ratios, the optimized transforms yield images more similar to the original than other state-of-the-art transforms. Specifically, irreversible optimized transforms outperform the Karhunen-Lo`eve Transform (KLT) in terms of PSNR (up to 1.1 dB), the HDR-VDP-2 visual distortion metric (up to 3.8 dB) and accuracy of computer-aided nuclei detection tasks (F1 score up to 0.04 higher). Additionally, reversible optimized transforms achieve PSNR, HDR-VDP-2 and nuclei detection accuracy gains of up to 0.9 dB, 7.1 dB and 0.025, respectively, when compared to the reversible color transform (RCT) in a lossy-to-lossless compression regime.
Item Type: | Journal Article | ||||||||||||||||||
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Subjects: | R Medicine > RB Pathology T Technology > TA Engineering (General). Civil engineering (General) |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||||||||||||||
Library of Congress Subject Headings (LCSH): | Pathology -- Slides (Photography), Image compression | ||||||||||||||||||
Journal or Publication Title: | Transactions on Medical Imaging | ||||||||||||||||||
Publisher: | IEEE | ||||||||||||||||||
ISSN: | 1558-254X | ||||||||||||||||||
Official Date: | January 2019 | ||||||||||||||||||
Dates: |
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Volume: | 38 | ||||||||||||||||||
Number: | 1 | ||||||||||||||||||
Page Range: | pp. 21-32 | ||||||||||||||||||
DOI: | 10.1109/TMI.2018.2852685 | ||||||||||||||||||
Status: | Peer Reviewed | ||||||||||||||||||
Publication Status: | Published | ||||||||||||||||||
Reuse Statement (publisher, data, author rights): | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||||||||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||||||||||||
Copyright Holders: | IEEE | ||||||||||||||||||
Date of first compliant deposit: | 21 May 2019 | ||||||||||||||||||
Date of first compliant Open Access: | 22 May 2019 | ||||||||||||||||||
RIOXX Funder/Project Grant: |
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