T. Richter. QoMEX 2009, First International Workshop on Quality of Multimedia Experience, page 222-227. San Diego, CA, USA, IEEE, (July 2009)
DOI: 10.1109/QOMEX.2009.5246947
Abstract
Recently, compression of High Dynamic Range (HDR) photography gained
attention in the standardization of the Microsoft HDPhoto compression scheme
as JPEG-XR. While integer data of 16 bits/pixel (bpp) in scRGB color-space
can represent images up to a dynamic range of about 3.5 magnitudes in
luminance --- a noteworthy improvement over the 1.6 magnitudes possible in
sRGB --- even higher ranges are more efficiently represented by
floating-point number formats. However, traditional means to evaluate image
quality are rarely suitable for such data: They are often only calibrated to
low-dynamic ranges (LDR) of 8bpp, and are not designed to take the
peculiarities of floating-point data into account. In this work, we present
two approaches to deal with this problem by introducing a (mathematical)
quality index more suitable to floating point data related to
SSIM~ssim,mssim, and by presenting an independent image quality
evaluation framework that is able to apply LDR metrics to HDR data. The
presented ideas are then tested on the HDPhoto floating point compression,
on a proprietary backwards compatible extension of JPEG~JPEGHDR and
on a proposed floating point compression scheme based on JPEG 2000~j2k
that is also proven to be optimal in the proposed quality index. It is then
shown that both approaches, the proposed metric and PSNR in the LDR domain,
deliver comparable results.
%0 Conference Paper
%1 richter2009evaluation
%A Richter, Thomas
%B QoMEX 2009, First International Workshop on Quality of Multimedia Experience
%C San Diego, CA, USA
%D 2009
%K compression image jpeg jpeg2000
%P 222-227
%R 10.1109/QOMEX.2009.5246947
%T Evaluation of Floating Point Image Compression
%U http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5246947
%X Recently, compression of High Dynamic Range (HDR) photography gained
attention in the standardization of the Microsoft HDPhoto compression scheme
as JPEG-XR. While integer data of 16 bits/pixel (bpp) in scRGB color-space
can represent images up to a dynamic range of about 3.5 magnitudes in
luminance --- a noteworthy improvement over the 1.6 magnitudes possible in
sRGB --- even higher ranges are more efficiently represented by
floating-point number formats. However, traditional means to evaluate image
quality are rarely suitable for such data: They are often only calibrated to
low-dynamic ranges (LDR) of 8bpp, and are not designed to take the
peculiarities of floating-point data into account. In this work, we present
two approaches to deal with this problem by introducing a (mathematical)
quality index more suitable to floating point data related to
SSIM~ssim,mssim, and by presenting an independent image quality
evaluation framework that is able to apply LDR metrics to HDR data. The
presented ideas are then tested on the HDPhoto floating point compression,
on a proprietary backwards compatible extension of JPEG~JPEGHDR and
on a proposed floating point compression scheme based on JPEG 2000~j2k
that is also proven to be optimal in the proposed quality index. It is then
shown that both approaches, the proposed metric and PSNR in the LDR domain,
deliver comparable results.
%@ 978-1-4244-4370-3
@inproceedings{richter2009evaluation,
abstract = {Recently, compression of High Dynamic Range (HDR) photography gained
attention in the standardization of the Microsoft HDPhoto compression scheme
as JPEG-XR. While integer data of 16 bits/pixel (bpp) in scRGB color-space
can represent images up to a dynamic range of about 3.5 magnitudes in
luminance --- a noteworthy improvement over the 1.6 magnitudes possible in
sRGB --- even higher ranges are more efficiently represented by
floating-point number formats. However, traditional means to evaluate image
quality are rarely suitable for such data: They are often only calibrated to
low-dynamic ranges (LDR) of 8bpp, and are not designed to take the
peculiarities of floating-point data into account. In this work, we present
two approaches to deal with this problem by introducing a (mathematical)
quality index more suitable to floating point data related to
SSIM~\cite{ssim,mssim}, and by presenting an independent image quality
evaluation framework that is able to apply LDR metrics to HDR data. The
presented ideas are then tested on the HDPhoto floating point compression,
on a proprietary backwards compatible extension of JPEG~\cite{JPEGHDR} and
on a proposed floating point compression scheme based on JPEG 2000~\cite{j2k}
that is also proven to be optimal in the proposed quality index. It is then
shown that both approaches, the proposed metric and PSNR in the LDR domain,
deliver comparable results.},
added-at = {2016-03-10T09:18:49.000+0100},
address = {San Diego, CA, USA},
author = {Richter, Thomas},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2b9fb5203ee6289d01c9bf141d58f0112/thomasrichter},
booktitle = {QoMEX 2009, First International Workshop on Quality of Multimedia Experience},
doi = {10.1109/QOMEX.2009.5246947},
interhash = {02bc578b7deb2a49f6f5378afdca1dad},
intrahash = {b9fb5203ee6289d01c9bf141d58f0112},
isbn = {978-1-4244-4370-3},
keywords = {compression image jpeg jpeg2000},
month = jul,
organization = {IEEE},
pages = {222-227},
timestamp = {2016-03-10T08:36:37.000+0100},
title = {{E}valuation of {F}loating {P}oint {I}mage {C}ompression},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5246947},
year = 2009
}