Compression of Infrared images

Claire Mantel; Søren Forchhammer

doi:10.2352/ISSN.2470-1173.2017.2.VIPC-401

Compression of Infrared images

Claire Mantel, Søren Forchhammer

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Abstract

This paper investigates the compression of infrared images with three codecs: JPEG2000, JPEG-XT and HEVC. Results are evaluated in terms of SNR, Mean Relative Squared Error (MRSE) and the HDR-VDP2 quality metric. JPEG2000 and HEVC perform fairy similar and better than JPEG-XT. JPEG2000 performs best for bits-per-pixel rates below 1.4 bpp, while HEVC obtains best performance in the range 1.4 to 6.5 bpp. The compression performance is also evaluated based on maximum errors. These results also show that HEVC can achieve a precision of 1°C with an average of 1.3 bpp.

Original language	English
Article number	6
Journal	I S & T Symposium on Electronic Imaging: Science and Technology. Abstracts
Volume	2017
Issue number	Visual Information Processing and Communication VIII
Pages (from-to)	21-26
DOIs	https://doi.org/10.2352/ISSN.2470-1173.2017.2.VIPC-401
Publication status	Published - 2017

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Open Access Content. For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity.

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10.2352/ISSN.2470-1173.2017.2.VIPC-401

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title = "Compression of Infrared images",

abstract = "This paper investigates the compression of infrared images with three codecs: JPEG2000, JPEG-XT and HEVC. Results are evaluated in terms of SNR, Mean Relative Squared Error (MRSE) and the HDR-VDP2 quality metric. JPEG2000 and HEVC perform fairy similar and better than JPEG-XT. JPEG2000 performs best for bits-per-pixel rates below 1.4 bpp, while HEVC obtains best performance in the range 1.4 to 6.5 bpp. The compression performance is also evaluated based on maximum errors. These results also show that HEVC can achieve a precision of 1°C with an average of 1.3 bpp.",

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T1 - Compression of Infrared images

AU - Mantel, Claire

AU - Forchhammer, Søren

N1 - Open Access Content. For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity.

PY - 2017

Y1 - 2017

N2 - This paper investigates the compression of infrared images with three codecs: JPEG2000, JPEG-XT and HEVC. Results are evaluated in terms of SNR, Mean Relative Squared Error (MRSE) and the HDR-VDP2 quality metric. JPEG2000 and HEVC perform fairy similar and better than JPEG-XT. JPEG2000 performs best for bits-per-pixel rates below 1.4 bpp, while HEVC obtains best performance in the range 1.4 to 6.5 bpp. The compression performance is also evaluated based on maximum errors. These results also show that HEVC can achieve a precision of 1°C with an average of 1.3 bpp.

AB - This paper investigates the compression of infrared images with three codecs: JPEG2000, JPEG-XT and HEVC. Results are evaluated in terms of SNR, Mean Relative Squared Error (MRSE) and the HDR-VDP2 quality metric. JPEG2000 and HEVC perform fairy similar and better than JPEG-XT. JPEG2000 performs best for bits-per-pixel rates below 1.4 bpp, while HEVC obtains best performance in the range 1.4 to 6.5 bpp. The compression performance is also evaluated based on maximum errors. These results also show that HEVC can achieve a precision of 1°C with an average of 1.3 bpp.

U2 - 10.2352/ISSN.2470-1173.2017.2.VIPC-401

DO - 10.2352/ISSN.2470-1173.2017.2.VIPC-401

M3 - Journal article

VL - 2017

SP - 21

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JO - I S & T Symposium on Electronic Imaging: Science and Technology. Abstracts

JF - I S & T Symposium on Electronic Imaging: Science and Technology. Abstracts

IS - Visual Information Processing and Communication VIII

M1 - 6

ER -

Compression of Infrared images

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