Optimized Tone Mapping Function for Contrast Enhancement Considering Human Visual Perception System

2019 ◽  
Vol 29 (11) ◽  
pp. 3199-3210 ◽  
Author(s):  
Ki Sun Song ◽  
Moon Gi Kang
Nanophotonics ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 41-74
Author(s):  
Bernard C. Kress ◽  
Ishan Chatterjee

AbstractThis paper is a review and analysis of the various implementation architectures of diffractive waveguide combiners for augmented reality (AR), mixed reality (MR) headsets, and smart glasses. Extended reality (XR) is another acronym frequently used to refer to all variants across the MR spectrum. Such devices have the potential to revolutionize how we work, communicate, travel, learn, teach, shop, and are entertained. Already, market analysts show very optimistic expectations on return on investment in MR, for both enterprise and consumer applications. Hardware architectures and technologies for AR and MR have made tremendous progress over the past five years, fueled by recent investment hype in start-ups and accelerated mergers and acquisitions by larger corporations. In order to meet such high market expectations, several challenges must be addressed: first, cementing primary use cases for each specific market segment and, second, achieving greater MR performance out of increasingly size-, weight-, cost- and power-constrained hardware. One such crucial component is the optical combiner. Combiners are often considered as critical optical elements in MR headsets, as they are the direct window to both the digital content and the real world for the user’s eyes.Two main pillars defining the MR experience are comfort and immersion. Comfort comes in various forms: –wearable comfort—reducing weight and size, pushing back the center of gravity, addressing thermal issues, and so on–visual comfort—providing accurate and natural 3-dimensional cues over a large field of view and a high angular resolution–vestibular comfort—providing stable and realistic virtual overlays that spatially agree with the user’s motion–social comfort—allowing for true eye contact, in a socially acceptable form factor.Immersion can be defined as the multisensory perceptual experience (including audio, display, gestures, haptics) that conveys to the user a sense of realism and envelopment. In order to effectively address both comfort and immersion challenges through improved hardware architectures and software developments, a deep understanding of the specific features and limitations of the human visual perception system is required. We emphasize the need for a human-centric optical design process, which would allow for the most comfortable headset design (wearable, visual, vestibular, and social comfort) without compromising the user’s sense of immersion (display, sensing, and interaction). Matching the specifics of the display architecture to the human visual perception system is key to bound the constraints of the hardware allowing for headset development and mass production at reasonable costs, while providing a delightful experience to the end user.


Optik ◽  
2018 ◽  
Vol 157 ◽  
pp. 467-483 ◽  
Author(s):  
S. Keerativittayanun ◽  
K. Kotani ◽  
T. Kondo ◽  
T. Phatrapornnant ◽  
J. Karnjana

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Wei Deng ◽  
Xiujuan Zhang ◽  
Ruofei Jia ◽  
Liming Huang ◽  
Xiaohong Zhang ◽  
...  

AbstractRecreating the visual-perception properties using organic electronic devices is highly desired for visual prosthetics and artificial intelligence. Although the integration of organic light-sensing components with synaptic devices can realize the recognition and memory functions for perceived images, complicated problems in device integration for practical applications are generally encountered. Here we demonstrate a new type of organic photosynaptic device based on organic molecular crystals, which can provide optical-sensing and synaptic functions together in one device by means of a unique photon-induced charge transfer effect. This device successfully emulates the working principles of human visual perception in terms of short-term plasticity, long-term potentiation, and spike-timing-dependent plasticity. Moreover, a proof-of-concept artificial image-perception system is demonstrated by integrating the photosynapses on a flexible substrate. The new devices using organic semiconductors may open up innovative application areas, such as artificially intelligent electronic and perception systems, and facilitate the integration of such devices into next-generation flexible and stretchable electronics.


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.


1993 ◽  
Vol 26 (6) ◽  
pp. 825-842 ◽  
Author(s):  
Yung-Sheng Chen ◽  
Shih-Liang Chang ◽  
Wen-Hsing Hsu

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