scholarly journals TONE COMPRESSION ALGORITHM FOR HIGH DYNAMIC RANGE MEDICAL IMAGES

2019 ◽  
Vol XLII-2/W12 ◽  
pp. 87-95
Author(s):  
I. A. Gracheva ◽  
A. V. Kopylov
Keyword(s):  
Dynamic Range ◽  
Medical Images ◽  
Computation Time ◽  
High Dynamic Range ◽  
Tone Mapping ◽  
Gamma Model ◽  
Model Base ◽  
Fidelity Measure ◽  
Comparable Quality ◽  
Optimal Visualization

<p><strong>Abstract.</strong> We propose here an HDR compression method for medical images based on a windowing operator, an adaptive tone mapping operator, and the probabilistic normal-gamma model. First, we use the windowing operator based on a structural fidelity measure for optimal visualization of the input HDR medical image. Then, we transform the windowed image to the logarithm domain and split it into base and detail layers with the help of the probabilistic normal-gamma model. Base and detail layers are used to make the tone map with help the adaptive tone mapping operator. Finally, the tone mapping result is the LDR image. The proposed method has comparable quality and low computation time compared to other tone mapping operators.</p>

scholarly journals Fully-automatic inverse tone mapping algorithm based on dynamic mid-level tone mapping

2020 ◽  
Vol 9 ◽  
Author(s):  
Gonzalo Luzardo ◽  
Jan Aelterman ◽  
Hiep Luong ◽  
Sven Rousseaux ◽  
Daniel Ochoa ◽  
...  
Keyword(s):  
Video Processing ◽  
Dynamic Range ◽  
Computation Time ◽  
High Dynamic Range ◽  
Tone Mapping ◽  
Color Contrast ◽  
Mapping Algorithm ◽  
Fully Automatic ◽  
Global And Local ◽  
Inverse Tone Mapping

Abstract High Dynamic Range (HDR) displays can show images with higher color contrast levels and peak luminosities than the common Low Dynamic Range (LDR) displays. However, most existing video content is recorded and/or graded in LDR format. To show LDR content on HDR displays, it needs to be up-scaled using a so-called inverse tone mapping algorithm. Several techniques for inverse tone mapping have been proposed in the last years, going from simple approaches based on global and local operators to more advanced algorithms such as neural networks. Some of the drawbacks of existing techniques for inverse tone mapping are the need for human intervention, the high computation time for more advanced algorithms, limited low peak brightness, and the lack of the preservation of the artistic intentions. In this paper, we propose a fully-automatic inverse tone mapping operator based on mid-level mapping capable of real-time video processing. Our proposed algorithm allows expanding LDR images into HDR images with peak brightness over 1000 nits, preserving the artistic intentions inherent to the HDR domain. We assessed our results using the full-reference objective quality metrics HDR-VDP-2.2 and DRIM, and carrying out a subjective pair-wise comparison experiment. We compared our results with those obtained with the most recent methods found in the literature. Experimental results demonstrate that our proposed method outperforms the current state-of-the-art of simple inverse tone mapping methods and its performance is similar to other more complex and time-consuming advanced techniques.

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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