IEICE TRANSACTIONS on Information
A Novel Tone Mapping Based on Double-Anchoring Theory for Displaying HDR Images
Summary :
In this paper, we present a Double-Anchoring Based Tone Mapping (DABTM) algorithm for displaying high dynamic range (HDR) images. First, two anchoring values are obtained using the double-anchoring theory. Second, we use the two values to formulate the compressing operator, which can achieve the aim of tone mapping directly. A new method based on accelerated K-means for the decomposition of HDR images into groups (frameworks) is proposed. Most importantly, a group of piecewise-overlap linear functions is put forward to define the belongingness of pixels to their locating frameworks. Experiments show that our algorithm is capable of achieving dynamic range compression, while preserving fine details and avoiding common artifacts such as gradient reversals, halos, or loss of local contrast.
- Publication
- IEICE TRANSACTIONS on Information Vol.E92-D No.12 pp.2487-2497
- Publication Date
- 2009/12/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E92.D.2487
- Type of Manuscript
- PAPER
- Category
- Image Processing and Video Processing
Authors
Keyword
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Jinhua WANG, De XU, Bing LI, "A Novel Tone Mapping Based on Double-Anchoring Theory for Displaying HDR Images" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 12, pp. 2487-2497, December 2009, doi: 10.1587/transinf.E92.D.2487.
Abstract: In this paper, we present a Double-Anchoring Based Tone Mapping (DABTM) algorithm for displaying high dynamic range (HDR) images. First, two anchoring values are obtained using the double-anchoring theory. Second, we use the two values to formulate the compressing operator, which can achieve the aim of tone mapping directly. A new method based on accelerated K-means for the decomposition of HDR images into groups (frameworks) is proposed. Most importantly, a group of piecewise-overlap linear functions is put forward to define the belongingness of pixels to their locating frameworks. Experiments show that our algorithm is capable of achieving dynamic range compression, while preserving fine details and avoiding common artifacts such as gradient reversals, halos, or loss of local contrast.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.2487/_p
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@ARTICLE{e92-d_12_2487,
author={Jinhua WANG, De XU, Bing LI, },
journal={IEICE TRANSACTIONS on Information},
title={A Novel Tone Mapping Based on Double-Anchoring Theory for Displaying HDR Images},
year={2009},
volume={E92-D},
number={12},
pages={2487-2497},
abstract={In this paper, we present a Double-Anchoring Based Tone Mapping (DABTM) algorithm for displaying high dynamic range (HDR) images. First, two anchoring values are obtained using the double-anchoring theory. Second, we use the two values to formulate the compressing operator, which can achieve the aim of tone mapping directly. A new method based on accelerated K-means for the decomposition of HDR images into groups (frameworks) is proposed. Most importantly, a group of piecewise-overlap linear functions is put forward to define the belongingness of pixels to their locating frameworks. Experiments show that our algorithm is capable of achieving dynamic range compression, while preserving fine details and avoiding common artifacts such as gradient reversals, halos, or loss of local contrast.},
keywords={},
doi={10.1587/transinf.E92.D.2487},
ISSN={1745-1361},
month={December},}
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TY - JOUR
TI - A Novel Tone Mapping Based on Double-Anchoring Theory for Displaying HDR Images
T2 - IEICE TRANSACTIONS on Information
SP - 2487
EP - 2497
AU - Jinhua WANG
AU - De XU
AU - Bing LI
PY - 2009
DO - 10.1587/transinf.E92.D.2487
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2009
AB - In this paper, we present a Double-Anchoring Based Tone Mapping (DABTM) algorithm for displaying high dynamic range (HDR) images. First, two anchoring values are obtained using the double-anchoring theory. Second, we use the two values to formulate the compressing operator, which can achieve the aim of tone mapping directly. A new method based on accelerated K-means for the decomposition of HDR images into groups (frameworks) is proposed. Most importantly, a group of piecewise-overlap linear functions is put forward to define the belongingness of pixels to their locating frameworks. Experiments show that our algorithm is capable of achieving dynamic range compression, while preserving fine details and avoiding common artifacts such as gradient reversals, halos, or loss of local contrast.
ER -
English
