scholarly journals Temporal adaptation control for local tone mapping operator

2018 ◽  
Vol 69 (4) ◽  
pp. 261-269
Author(s):  
Dragomir El Mezeni ◽  
Lazar Saranovac
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Tone Mapping ◽  
Temporal Control ◽  
Display Devices ◽  
Flexible Control ◽  
Temporal Adaptation ◽  
Single Operator ◽  
Low Dynamic Range ◽  
Local Tone Mapping

Abstract High dynamic range (HDR) imaging has gained great popularity over the past twenty years. Tone mapping operator (TMO) is the key component that enables reproduction of HDR images on the standard low dynamic range (LDR) display devices. When it comes to the HDR video, design of the TMO becomes especially challenging since temporal control of TMO parameters is needed in order to avoid possible artifacts. Since temporal and spatial contrast cannot be met simultaneously, existing solutions are usually designed to optimize one of these two requirements. We present novel local tone mapping operator that preserves details and simultaneously provides good local and global contrast of processed images. Tunable temporal control enables trade-off between spatial and temporal contrast of a tone mapped video. Flexible control presented in this paper ensures that both requirements can be met with a single operator just by using different tuning of the control block.When compared to the state-of-the-art TMOs, proposed solution exhibits better results regarding overall image quality.

GPU-Based Local Tone Mapping in the Context of Virtual Night Driving

2012 ◽  
Author(s):  
Erik Bonner ◽  
Jan Berssenbruegge
Keyword(s):  
Driving Simulator ◽  
Dynamic Range ◽  
Virtual Prototyping ◽  
High Dynamic Range ◽  
Mapping Method ◽  
Tone Mapping ◽  
Interactive Applications ◽  
High Dynamic ◽  
Illumination Models ◽  
Local Tone Mapping

Virtual Prototyping of automotive headlights requires a realistic illumination model, capable of rendering scenes of high contrast in fine detail. Due to the high dynamic range nature of headlight beam pattern data, which is projected onto the virtual road, high dynamic range illumination models are required. These are used as the basis for illumination in simulations for automotive headlight Virtual Prototyping. Since high dynamic range illumination models operate on brightness ranges commensurate with the real world, a post-processing operation, known as tone mapping, is required to map each frame into the device-specific range of the display hardware. Algorithms for tone mapping, called tone mapping operators, can be classified as global or local. Global operators are efficient to compute at the expense of scene quality. Local operators preserve scene detail, but, due to their additional computational complexity, are rarely used with interactive applications. Local tone mapping methods produce more usable visualization results for engineering tasks. This paper proposes a local tone mapping method suitable for use with interactive applications. To develop a suitable tone mapping operator, a state of the art local tone mapping method was accelerated using modern, work-efficient GPU algorithms. Optimal performance, both in terms of memory and speed, was achieved by means of General-Purpose GPU programming with CUDA. A prototypic implementation has shown that the method works well with high dynamic range OpenGL applications. In the near future, the tone mapper will be integrated into the virtual night driving simulator at our institute.

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.

Creation Method of High Dynamic Range Image Based on Three-Color Camera

2015 ◽  
Vol 731 ◽  
pp. 193-196
Author(s):  
Jie Li ◽  
Hai Wen Wang ◽  
Xi Xi He
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Range Image ◽  
Range Images ◽  
Visual Evaluation ◽  
Display Devices ◽  
High Dynamic ◽  
Low Dynamic Range ◽  
Detail Enhancement ◽  
Fine Tune

The current HDR (High-Dynamic Range) images gets expensive display devices with low dynamic range of equipment problems, research objectives are presented methods for using ordinary camera fetching and displaying high dynamic range images. General three-color camera’s use is to obtain 3 different exposures of the same scene images, and binary image pyramid, followed by low-level image panning and rotation registration step by step, using HDR Darkroom Photomatix software obtains high dynamic range images ,tone mapping and detail enhancement, using Photoshop software to fine-tune to get the final high-dynamic range images. Visual evaluation and instrumental measurements shows the synthesis of high dynamic range images can increase reflects the brightness of the scene, details and colour information, application and promotion of the value of the method.

scholarly journals Personal Communication Technologies for Smart Spaces Density-Based Clustering for Content and Color Adaptive Tone Mapping

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Maleeha Javed ◽  
Hassan Dawood ◽  
Muhammad Murtaza Khan ◽  
Ameen Banjar ◽  
Riad Alharbey ◽  
...  
Keyword(s):  
Dynamic Range ◽  
Subjective Evaluation ◽  
Personal Communication ◽  
High Dynamic Range ◽  
Tone Mapping ◽  
Density Peak ◽  
Mapping Algorithm ◽  
Fast Search ◽  
And Performance ◽  
Low Dynamic Range

Tone mapping operators are designed to display high dynamic range (HDR) images on low dynamic range devices. Clustering-based content and color adaptive tone mapping algorithm aims to maintain the color information and local texture. However, fine details can still be lost in low dynamic range images. This paper presents an effective way of clustering-based content and color adaptive tone mapping algorithm by using fast search and find of density peak clustering. The suggested clustering method reduces the loss of local structure and allows better adaption of color in images. The experiments are carried out to evaluate the effectiveness and performance of proposed technique with state-of-the-art clustering techniques. The objective and subjective evaluation results reveal that fast search and find of density peak preserves more textural information. Therefore, it is most suitable to be used for clustering-based content and color adaptive tone mapping algorithm.

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