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Author, Editor

Author(s):

Zhang, Yang
Reinhard, Erik
Agrafiotis, Dimitris
Bull, Dave

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Not MPG Author(s):

Zhang, Yang
Agrafiotis, Dimitris
Bull, Dave

Editor(s):





BibTeX cite key*:

Reinhard2012e

Title, Booktitle

Title*:

Image and Video Compression for HDR Content

Booktitle*:

SPIE Conference on Applications of Digital Image Processing XXXV

Event, URLs

URL of the conference:

http://spie.org/x648.html?product_id=916855

URL for downloading the paper:


Event Address*:

San Diego

Language:

English

Event Date*
(no longer used):


Organization:

SPIE

Event Start Date:

13 August 2012

Event End Date:

16 August 2012

Publisher

Name*:

SPIE

URL:


Address*:

Bellingham, WA

Type:


Vol, No, Year, pp.

Series:


Volume:

8499

Number:


Month:


Pages:

0H1-0H13

Year*:

2012

VG Wort Pages:

13

ISBN/ISSN:

9780819492166

Sequence Number:


DOI:

10.1117/12.931500



Note, Abstract, ©


(LaTeX) Abstract:

High Dynamic Range (HDR) technology can offer high levels of immersion with a dynamic range meeting and exceeding that of the Human Visual System (HVS). A primary drawback with HDR images and video is that memory and bandwidth requirements are significantly higher than for conventional images and video. Many bits can be wasted coding redundant imperceptible information. The challenge is therefore to develop means for efficiently compressing HDR imagery to a manageable bit rate without compromising perceptual quality. In this paper, we build on previous work of ours and propose a compression method for both HDR images and video, based on an HVS optimised wavelet subband weighting method. The method has been fully integrated into a JPEG 2000 codec for HDR image compression and implemented as a pre-processing step for HDR video coding (an H.264 codec is used as the host codec for video compression). Experimental results indicate that the proposed method outperforms previous approaches and operates in accordance with characteristics of the HVS, tested objectively using a HDR Visible Difference Predictor (VDP). Aiming to further improve the compression performance of our method, we additionally present the results of a psychophysical experiment, carried out with the aid of a high dynamic range display, to determine the difference in the noise visibility threshold between HDR and Standard Dynamic Range (SDR) luminance edge masking. Our findings show that noise has increased visibility on the bright side of a luminance edge. Masking is more consistent on the darker side of the edge.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

URL for the Abstract:

http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1380070



Download
Access Level:

Internal

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Computer Graphics Group

MPG Subsubunit:

Color Image Processing Group

Audience:

experts only

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort



BibTeX Entry:

@INPROCEEDINGS{Reinhard2012e,
AUTHOR = {Zhang, Yang and Reinhard, Erik and Agrafiotis, Dimitris and Bull, Dave},
TITLE = {Image and Video Compression for {HDR} Content},
BOOKTITLE = {SPIE Conference on Applications of Digital Image Processing XXXV},
PUBLISHER = {SPIE},
YEAR = {2012},
ORGANIZATION = {SPIE},
VOLUME = {8499},
PAGES = {0H1--0H13},
ADDRESS = {San Diego},
ISBN = {9780819492166},
DOI = {10.1117/12.931500},
}


Entry last modified by Oliver Klehm, 02/12/2013
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Editor(s)
Erik Reinhard
Created
01/28/2013 11:58:48 AM
Revisions
3.
2.
1.
0.
Editor(s)
Oliver Klehm
Erik Reinhard
Erik Reinhard
Erik Reinhard
Edit Dates
02/12/2013 05:25:52 PM
02/06/2013 12:40:44 PM
01/28/2013 12:01:20 PM
01/28/2013 11:58:48 AM