Content-Dependent Reduction of Static Color Breakup on Field Sequential Color LCDs

A Review of Color Breakup Assessment for Field Sequential Color Display

“…To achieve an objective assessment method, Kim et al proposed an effective picture‐level metric, 42,43 which compared an original image and the corresponding simulated image with color breakup and then accumulated color breakup values pixel by pixel. The color breakup value, provided by Equation (), was acquired by fitting data of a series of physiological experiments using diverse solid‐color patches.…”

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

“…2. Next, 10 reference images with relatively simple structures were selected from previous studies of color breakup visibility, [7][8][9][10][11][12][14][15][16][17][18][19][20][21][22][23][24] as Images 16 to 25. From Fig.…”

“…Nevertheless, the studies earlier did not consider how the human vision system comprehends an image with varying content. Therefore, it remains an open problem as to how to achieve an image content adaptive color breakup index that can directly predict the perceptual color breakup visibility for natural images, especially considering that the color breakup visibility is significantly affected by image content …”

“…Other research has sought to apply the color breakup index for a fixed pattern to natural images. For example, Kim et al divided a natural image into arrayed regions and used arrayed solid‐colored blocks with several different colors to approximate this image while the color breakup index for each solid‐colored block was predetermined. Nevertheless, the studies earlier did not consider how the human vision system comprehends an image with varying content.…”

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

“…Zhang et al [5] and Cheng et al [6] used the configuration of an FSC display, such as the color and lightness differences between the fields, to derive the CBU visibility for a simple pattern, e.g., a solid-colored block, and obtained objective results matched well with subjective results. 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.…”