Fast lossless compression of whole slide pathology images using HEVC intra-prediction

Victor Sanchez; Miguel Hernandez-Cabronero; Francese Aulí-Llinàs; Joan Serra-Sagristà

doi:10.1109/ICASSP.2016.7471918

Fast lossless compression of whole slide pathology images using HEVC intra-prediction

Victor Sanchez, Miguel Hernandez-Cabronero, Francese Aulí-Llinàs, Joan Serra-Sagristà

Research output: Contribution to journal › Literature review › Research › peer-review

3 Citations (Scopus)

Abstract

The lossless compression of Whole Slide pathology Images (WSIs) using HEVC is investigated in this paper. Recently proposed intra-prediction algorithms based on differential pulse-code modulation (DPCM) and edge prediction provide significant bitrate improvements for a wide range of natural and screen content sequences, including WSIs. However, coding times remain relatively high due to the high number (35) of modes to be tested. In this paper, FastIn-tra, a novel method that requires testing only four modes is proposed. Among these four modes, FastIntra introduces a novel median edge predictor designed to accurately predict edges in different directionalities. Performance evaluations on various WSIs show average compression time reductions of 23.5% with important lossless coding improvements as compared to current block-wise intra-prediction and DPCM-based methods.

Original language	American English
Pages (from-to)	1456-1460
Number of pages	5
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
DOIs	https://doi.org/10.1109/ICASSP.2016.7471918
Publication status	Published - 18 May 2016

Keywords

HEVC
intra coding
lossless compression
whole slide pathology images

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10.1109/ICASSP.2016.7471918

Cite this

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abstract = "The lossless compression of Whole Slide pathology Images (WSIs) using HEVC is investigated in this paper. Recently proposed intra-prediction algorithms based on differential pulse-code modulation (DPCM) and edge prediction provide significant bitrate improvements for a wide range of natural and screen content sequences, including WSIs. However, coding times remain relatively high due to the high number (35) of modes to be tested. In this paper, FastIn-tra, a novel method that requires testing only four modes is proposed. Among these four modes, FastIntra introduces a novel median edge predictor designed to accurately predict edges in different directionalities. Performance evaluations on various WSIs show average compression time reductions of 23.5% with important lossless coding improvements as compared to current block-wise intra-prediction and DPCM-based methods.",

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author = "Victor Sanchez and Miguel Hernandez-Cabronero and Francese Aul{\'i}-Llin{\`a}s and Joan Serra-Sagrist{\`a}",

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Fast lossless compression of whole slide pathology images using HEVC intra-prediction. / Sanchez, Victor; Hernandez-Cabronero, Miguel ; Aulí-Llinàs, Francese et al.

In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 18.05.2016, p. 1456-1460.

Research output: Contribution to journal › Literature review › Research › peer-review

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T1 - Fast lossless compression of whole slide pathology images using HEVC intra-prediction

AU - Sanchez, Victor

AU - Hernandez-Cabronero, Miguel

AU - Aulí-Llinàs, Francese

AU - Serra-Sagristà, Joan

PY - 2016/5/18

Y1 - 2016/5/18

N2 - The lossless compression of Whole Slide pathology Images (WSIs) using HEVC is investigated in this paper. Recently proposed intra-prediction algorithms based on differential pulse-code modulation (DPCM) and edge prediction provide significant bitrate improvements for a wide range of natural and screen content sequences, including WSIs. However, coding times remain relatively high due to the high number (35) of modes to be tested. In this paper, FastIn-tra, a novel method that requires testing only four modes is proposed. Among these four modes, FastIntra introduces a novel median edge predictor designed to accurately predict edges in different directionalities. Performance evaluations on various WSIs show average compression time reductions of 23.5% with important lossless coding improvements as compared to current block-wise intra-prediction and DPCM-based methods.

AB - The lossless compression of Whole Slide pathology Images (WSIs) using HEVC is investigated in this paper. Recently proposed intra-prediction algorithms based on differential pulse-code modulation (DPCM) and edge prediction provide significant bitrate improvements for a wide range of natural and screen content sequences, including WSIs. However, coding times remain relatively high due to the high number (35) of modes to be tested. In this paper, FastIn-tra, a novel method that requires testing only four modes is proposed. Among these four modes, FastIntra introduces a novel median edge predictor designed to accurately predict edges in different directionalities. Performance evaluations on various WSIs show average compression time reductions of 23.5% with important lossless coding improvements as compared to current block-wise intra-prediction and DPCM-based methods.

KW - HEVC

KW - intra coding

KW - lossless compression

KW - whole slide pathology images

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DO - 10.1109/ICASSP.2016.7471918

M3 - Reseña científica

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EP - 1460

ER -

Fast lossless compression of whole slide pathology images using HEVC intra-prediction

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Keywords

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