Tone Mapping Operators Evaluation Based on High Quality Reference Images

2019 ◽  
Vol 2019 (1) ◽  
pp. 268-272
Author(s):  
Imran Mehmood ◽  
Muhammad Usman Khan ◽  
Ming Ronnier Luo ◽  
Muhammad Farhan Mughal
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Image Features ◽  
Tone Mapping ◽  
High Quality ◽  
Colour Image ◽  
Photographic Reproduction ◽  
Reference Images ◽  
High Dynamic

High Dynamic Range (HDR) imaging applications have been commonly placed recently. Several tone mapping operators (TMOs) have been developed which project the HDR radiance range to that of a display. Currently, there is no agreement on a technique for evaluation of tone mapping operators. The goal of this study is to establish a method based on reference images to evaluate the TMOs. Two psychophysical experiments were carried out for the evaluation of tone mapping operators. In the first experiment, a set of high quality images were generated to possess right extents of image features including contrast, colourfulness and sharpness. These images were further used in the second experiment as reference images to evaluate different TMOs. It was found Reinhard's photographic reproduction based on local TMO gave an overall better performance. CIELAB(2:1) and S- CIELAB metrics were also used to judge colour image quality of the same TMOs. It was found that both metrics agreed well with the visual results.

scholarly journals Inverse Tone Mapping Based upon Retina Response

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Yongqing Huo ◽  
Fan Yang ◽  
Vincent Brost
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Tone Mapping ◽  
High Quality ◽  
Physiological Approach ◽  
High Dynamic ◽  
Low Dynamic Range ◽  
Image Details ◽  
Inverse Tone Mapping ◽  
Expansion Scheme

The development of high dynamic range (HDR) display arouses the research of inverse tone mapping methods, which expand dynamic range of the low dynamic range (LDR) image to match that of HDR monitor. This paper proposed a novel physiological approach, which could avoid artifacts occurred in most existing algorithms. Inspired by the property of the human visual system (HVS), this dynamic range expansion scheme performs with a low computational complexity and a limited number of parameters and obtains high-quality HDR results. Comparisons with three recent algorithms in the literature also show that the proposed method reveals more important image details and produces less contrast loss and distortion.

High Dynamic Range Images and Tone Mapping Operator

2009 ◽  
Vol 35 (2) ◽  
pp. 113-122 ◽  
Author(s):  
Ke-Hu YANG ◽  
Jing JI ◽  
Jian-Jun GUO ◽  
Wen-Sheng YU
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Tone Mapping ◽  
Range Images ◽  
High Dynamic

Evaluation of tone mapping operators using a High Dynamic Range display

2005 ◽  
Vol 24 (3) ◽  
pp. 640-648 ◽  
Author(s):  
Patrick Ledda ◽  
Alan Chalmers ◽  
Tom Troscianko ◽  
Helge Seetzen
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Tone Mapping ◽  
High Dynamic

scholarly journals Optimal Tone-Mapping for HDR Images

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3078-3080
Keyword(s):  
Dynamic Range ◽  
Optimization Problems ◽  
High Dynamic Range ◽  
Mapping Technique ◽  
Tone Mapping ◽  
Local Restriction ◽  
High Dynamic ◽  
M Estimation ◽  
Performance Gains ◽  
Smooth Transitions

This research paper proposes a unique optimal tone-mapping technique for high dynamic range (HDR) images, performing local adjustments with overlapping windows covering complete image. A local linear adjustment is applied on each window to preserve the radiance values. This problem may be treated as global optimization problems to satisfy the local restriction for every overlapping window. These Local constraints may be considered as a guidance map to suppress high contrast without losing its details. M-estimation technique may be used for solving this optimization problem. This technique may be applied to HDR images with sudden radiance changes or comparatively smooth transitions. Further, this technique may be applied to differentiate and analyzes HDR images from LDR images. Simulation results are included to support the performance gains achieved by the proposed technique.

High Dynamic Range Image Watermarking Robust Against Tone-Mapping Operators

2011 ◽  
Vol 6 (2) ◽  
pp. 283-295 ◽  
Author(s):  
Fabrizio Guerrini ◽  
Masahiro Okuda ◽  
Nicola Adami ◽  
Riccardo Leonardi
Keyword(s):  
Dynamic Range ◽  
Image Watermarking ◽  
High Dynamic Range ◽  
Tone Mapping ◽  
Range Image ◽  
High Dynamic Range Image ◽  
High Dynamic
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