Rendering of HDR images to improve brightness discrimination

Hong, Jong-Ju; Shin, Seung‐Jun; Song, Woo‐Jin; Kwon, Kyung Joon; Kim, Seong Gyun

doi:10.1002/jsid.407

Cited by 3 publications

(4 citation statements)

References 25 publications

(52 reference statements)

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“…Future study will be devoted to tailor HVS‐based models that expand the dynamic range of an image, such as Hong et al ., in order to permit an easier adaptation to the requirements of different users.…”

Section: Discussionmentioning

confidence: 99%

Age‐dependent prediction of visible differences in displayed images

Mantiuk

Ramponi

2018

J Soc Info Display

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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.

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Section: Discussionmentioning

confidence: 99%

Age‐dependent prediction of visible differences in displayed images

Mantiuk

Ramponi

2018

J Soc Info Display

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“…Because the image reproduced in the LDR display may be thought of as a single exposure, we can assume that the adaptation luminance is a constant over pixels in the LDR display. The adaptation luminance can be estimated using a log‐scale mean.…”

Section: Minimum Visual Sensation Distortion Tone Curvementioning

confidence: 99%

Tone mapping to minimize visual sensation distortion considering brightness and local band‐limited contrast

et al. 2017

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We propose a tone-mapping algorithm that minimizes the function that represents the visual sensation distortion that occurs after tone mapping. For the function, we consider both brightness and local band-limited contrast to reduce darkening of images that have high dynamic range when they are displayed with conventional contrast-based tone mapping using histogram on devices that have low dynamic range. By exploiting human visual characteristics, we simplify the problem and find a closed-form solution that minimizes the function that represents distortion of visual sensation. In both subjective and objective evaluations, the proposed algorithm achieves a processed image that is most similar to the original image and has the best subjective image quality. 2 ; (b) Result of the algorithm. 10 FIGURE 2 -Typical tone mapping curve lines 11 : The input image is first pre-processed. The processed highdynamic-range (HDR) image is divided into a base layer (illumination) and a detail layer (reflectance) by an edge-preserving filter. The dynamic range of the base layer is compressed by the tone curve. Then the base layer and the detail layer are combined again to generate a tone-mapping image. Finally, the image is postprocessed so that it can be rendered on the display. 622 Shin et al. / Minimum visual sensation distortion tone mappingFIGURE 3 -Brightness adaptation. 12 FIGURE 4 -Simple contrast definition.

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“…The dynamic range of conventional liquid crystal displays (LCDs) is merely 2-3 orders of magnitude which are quite smaller than the range of real world and the human visual system (HVS) [1]. High dynamic range (HDR) technologies have been employed in displays to overcome limited dynamic range.…”

Section: Introductionmentioning

confidence: 99%

“…Even with a local dimming, artifacts, such as clipping, halo, can occur [3]. Studies on improvement of the picture quality according to dimming blocks, pixel compensation methods have been conducted [1][2][3][4]. S.Swinkels, et al [4] evaluated that the preference score of perceived image quality according to the number of dimming blocks, and higher score means the better picture quality.…”

Section: Introductionmentioning

confidence: 99%