Human visual perception‐based localized backlight scaling method for high dynamic range LCDs

Using an RGB organic light‐emitting diode display to emulate liquid crystal display systems, we examined the efficacy of different global dimming strategies for cinematic content. A global dimming solution with smoothed transitions was preferred over solutions using a static backlight level or the highly aggressive frame‐by‐frame backlight adjustment scheme. We compared two such smoothing approaches, one making use of causal data, and another using future information (which could be available via latency or dynamic metadata) and did observe some opportunities for an improved experience, but found the causal data to be a competitive approach. We also evaluated the importance of native panel contrast and how global dimming compares to local dimming approaches. For most content tested, a global dimming display with a high‐contrast liquid crystal panel was judged as being equivalent or more preferred to a full‐array local dimming display with a low‐contrast panel. These results build on the existing evidence that native panel contrast remains one of the strongest predictors of high‐dynamic‐range image quality even as backlight technologies continue to improve.

Section: Discussionmentioning

confidence: 99%

Efficacy of global dimming backlight and high‐contrast liquid crystal panel for high‐dynamic‐range displays

Choi

Hoffman

2017

“…The general approach to FR‐IQA is to unevenly regard the content in an image and up‐weight the content that highly influences an observer's subjectivity while comparing between the distorted and reference images. In recent years, visual saliency theory, which uses the information of brightness, color, orientation, etc., in an image to determine the extent to which the image content attracts a subject's attention, has shown great success in FR‐IQA and display system evaluations . For example, a milestone of general FR‐IQA is the visual saliency‐based index .…”

Section: Methodsmentioning

confidence: 99%

“…In recent years, visual saliency theory, which uses the information of brightness, color, orientation, etc., in an image to determine the extent to which the image content attracts a subject's attention, has shown great success in FR-IQA 27,28 and display system evaluations. 29,30 For example, a milestone of general FR-IQA is the visual saliency-based index. 28 To calculate the visual saliency map of an image, which is an equal-size image filled with real numbers between 0 and 1 that quantify the saliency, as shown in Fig.…”

Section: Color Breakup Index Based On Dominant Visual Saliencymentioning

confidence: 99%

Image content adaptive color breakup index for field sequential color displays using a dominant visual saliency method

Qin

Lin

et al. 2018

An index that can predict the perceptual visibility of color breakup for varying image content is valuable in field sequential color displays, whereas the current indices are usually for fixed patterns. To solve this problem, an image database containing 25 diverse reference images and 125 test cases with various color breakup visibility was first established. Next, visual experiments using a 240‐Hz liquid crystal display were performed to acquire the subjective color breakup scores of the test cases. A theorem based on visual saliency theory was proposed that the color breakup perception is mainly determined by the image regions with visual saliency values higher than a certain threshold, called the dominant visual saliency regions. A computational model based on this theorem was developed to obtain objective color breakup scores of the test cases from retinal images with and without color breakup. An analysis of the objective and subjective results revealed a Pearson linear correlation coefficient as high as 0.82, which matches the top‐level image quality assessment algorithms. Finally, the proposed color breakup index was used to benchmark against several mainstream field sequential color algorithms to determine their performances in color breakup suppression.

“…In computer graphics, visual predictors are used in adaptive rendering, where the computation is directed to those image regions for which the improvement in quality is the most noticeable. They can also be exploited to design energy‐saving displays that maintain good perceived image quality …”

Section: Introductionmentioning

confidence: 99%

“…They can also be exploited to design energy-saving displays that maintain good perceived image quality. 1,2 Visibility predictors [3][4][5][6] assess the likelihood that an average observer will notice the difference between the test and reference images. Test images usually contain, and reference images lack, features whose visibility is investigated.…”

Section: Introductionmentioning

confidence: 99%

Age‐dependent prediction of visible differences in displayed images

Mantiuk

Ramponi

2018

A comprehensive computational model of the human visual system has been developed to predict just‐noticeable differences between a pair of stimuli. The stimuli are provided as high‐dynamic‐range, multichannel images, containing accurate spectral and photometric description of the scene. In this work, we extend such a model to determine the effect of age on the sensitivity of the visual system. The extensions are based on the existing models of disability glare, aging of the crystalline lens, and reduced pupil size with age (senile miosis). We confirm findings from other studies that those optical effects cannot fully explain the effect of aging, and we attribute the remaining drop of sensitivity to neural changes. The complete model, including an empirical neural component, can well explain the differences in contrast sensitivity between old and young observers.