Noise reduction and adaptive contrast enhancement for local tone mapping

2012 ◽  
Vol 58 (2) ◽  
pp. 578-586 ◽  
Author(s):  
Ji Lee ◽  
Rae-Hong Park ◽  
Soonkeun Chang
2021 ◽  
Vol 40 (2) ◽  
pp. 1-15
Author(s):  
Minqi Wang ◽  
Emily A. Cooper

Dichoptic tone mapping methods aim to leverage stereoscopic displays to increase visual detail and contrast in images and videos. These methods, which have been called both binocular tone mapping and dichoptic contrast enhancement , selectively emphasize contrast differently in the two eyes’ views. The visual system integrates these contrast differences into a unified percept, which is theorized to contain more contrast overall than each eye’s view on its own. As stereoscopic displays become increasingly common for augmented and virtual reality (AR/VR), dichoptic tone mapping is an appealing technique for imaging pipelines. We sought to examine whether a standard photographic technique, exposure bracketing, could be modified to enhance contrast similarly to dichoptic tone mapping. While assessing the efficacy of this technique with user studies, we also re-evaluated existing dichoptic tone mapping methods. Across several user studies; however, we did not find evidence that either dichoptic tone mapping or dichoptic exposures consistently increased subjective image preferences. We also did not observe improvements in subjective or objective measures of detail visibility. We did find evidence that dichoptic methods enhanced subjective 3D impressions. Here, we present these results and evaluate the potential contributions and current limitations of dichoptic methods for applications in stereoscopic displays.


1982 ◽  
Vol 64 ◽  
pp. 109-110
Author(s):  
A. Bijaoui

During the last decenny, Digital Image Processing (D.I.P.) has been introduced in astronomical studies to allow the information extraction.In a first step, D.I.P. has been used essentially to provide enhanced images (noise reduction, deconvolution, contrast enhancement), to reduce geometrical or photometrical distorsions and to extract rough data. So, a few reference date are needed (some comparison lines for example).


Author(s):  
Erik Bonner ◽  
Jan Berssenbruegge

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.


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