Evaluation of a Transparent Display's Pixel Structure Regarding Subjective Quality of Diffracted See-Through Images

et al. 2018

J Soc Info Display

Self Cite

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.

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Color Breakup Index Based On Dominant Visual Saliencymentioning

confidence: 99%

See 1 more Smart Citation

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

Qin

et al. 2018

J Soc Info Display

Self Cite

“…To evaluate structural complexities (SC) of the 25 reference images, multi-scale structural similarity (MS-SSIM), a method for assessing the similarity between two grayscale images [9], is adopted. First, each reference image is transferred into CIE L*a*b* color space.…”

Section: Establishment Of Cbu Image Databasementioning

confidence: 99%

“…In addition, Kim et al [7] and Yang et al [8] divided an image into multiple blocks and used solid-colored blocks to approximate to the blocks, to estimate the CBU visibility. Nevertheless, using solid-colored blocks to approximate to an image and not considering how the human vision system comprehends an image [9] make it still an open problem that how to achieve an image-content-adaptive CBU index that can directly predict perceptual CBU visibilities for natural images. By considering that the CBU visibility considerably varies with image contents, such an extension from simple patterns to natural images is of great significance.…”

Section: Introductionmentioning

confidence: 99%

85‐3: Distinguished Student Paper: Image‐Content‐Adaptive Color Breakup Index for Field‐Sequential‐Color Displays Using Dominant Visual Saliency Method

Qin

Symp Digest of Tech Papers

et al. 2018

Self Cite

Proposing an unprecedented color breakup (CBU) evaluation index based on dominant visual saliency of natural images for field‐sequential‐color displays, this paper achieves a linear correlation coefficient of 0.82 between subjective and objective CBU visibilities. Consequently, this study is promising for being a criterion to assess CBU in FSC‐related devices—low power and virtual/augmented reality displays.

Low‐diffraction transparent micro light‐emitting diode displays with optimized pixel structure

Yang

Lan

et al. 2022

J Soc Info Display

Transparent displays suffer from background image blur due to light diffraction when passing through periodic pixel structures. A simple, reference‐image free and semi‐analytical model based on diffraction theory and human eye's angular resolution is proposed to quantitatively evaluate the diffraction effect of transparent displays. Several factors including object distance, resolution and aperture ratio are analyzed with our model to establish guidelines for minimizing the diffraction effect in transparent displays. By optimizing the pixel structures within a 2 × 2‐pixel size region, the relative diffraction intensity is reduced by 42% at the 50% aperture ratio regardless of pixel density, which is valuable for achieving diffraction‐less high resolution and low aperture ratio transparent displays with current fabrication technologies.