As a new display technology, mini‐LED has more and more broad prospects. However, there are some difficult problems associated with mass transfer, yield, uniformity of brightness, and chroma. In order to improve the uniformity, especially in case of the low grayscale, we propose a fine full grayscale correction method, which includes precise pixel‐by‐pixel brightness and chroma extraction algorithm and level‐by‐level full grayscale correction algorithm. To ensure the uniformity inside the cabinet and between the cabinets, a full‐color viewing angle compensation and an adaptive cabinet seam correction algorithm are also proposed to achieve the arbitrary splicing of the cabinets.
The color gamut of input source and the display set usually are disparate, therefore, a mapping mechanism between them is necessary and makes significant impact on the picture reproducing quality. In this paper, a new gamut mapping algorithm is proposed, which reduces color difference significantly between the source and target, compared with that without adopting such mapping process. The gamma behavior of luminance dependence on gray scale has been little affected. Artifacts like saturation inversion and hue inconsistency are avoided.
Before HDR signals can be displayed on traditional TVs and monitors, tone mapping is required to compress the luminance and color range to the display device's displayable low dynamic range (LDR). However, there is a common problem of loss of image details after tone mapping of HDR signals, which affects video/image quality. To solve this problem, we proposes an enhanced tone mapping (ETM) with guided filter. In the constructed enhance channel, guided filtering is used to extract and reconstruct the image detail layer, which accurately preserves the image detail and removes the halo problem. which improves local dynamic contrast, enhances image details, and improves image clarity.
The color gamut of input source and the display set usually are disparate; therefore, a mapping mechanism between them is necessary and makes significant impact on the picture-reproducing quality. In this paper, a new gamut mapping algorithm is proposed, which reduces color difference significantly between the source and target, compared with that without adopting such mapping process. The gamma behavior of luminance dependence on gray scale has been little affected. Artifacts like saturation inversion and hue inconsistency are avoided.
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