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Absolute Moment Block Truncation Coding and Its Application to Color Images

Absolute Moment Block Truncation Coding and Its Application to Color Images Absolute Moment Block Truncation Coding and Its Application to Color Images Abstract: A new quantization method that uses the criterion of preserving sample absolute moments is presented. This is based on the same basic idea for block truncation coding of Delp and Mitchell but it is simpler in any practical implementation. Moreover, output equations are those for a two-level nonparametric minimum mean square error quantizer when the threshold is fixed to the…

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RGBW image compression by low-complexity adaptive multi-level block truncation coding

RGBW image compression by low-complexity adaptive multi-level block truncation coding RGBW image compression by low-complexity adaptive multi-level block truncation coding Abstract: Frame memory compression is a widely used image compression technique that aims to reduce the size of the frame memory in display panels such as those containing LCD and OLED technologies. Recent LCD panels use the RGBW color domain to replace the traditional RGB domain in order to enhance the brightness of LCD panels with the addition of a white component. The…

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Adaptive multi-level block truncation coding for frame memory reduction in LCD overdrive

Adaptive multi-level block truncation coding for frame memory reduction in LCD overdrive Adaptive multi-level block truncation coding for frame memory reduction in LCD overdrive Abstract: To reduce frame memory usage in LCD overdrive, block truncation coding (BTC) is commonly used due to its efficient coding and low implementation cost. However, the inherent limitation of BTC causes severe perceptual artifacts and degrades overdrive performance. To solve this problem, we propose an adaptive multi-level BTC (AM-BTC) in this paper. The AM-BTC firstly overcomes the limitation…

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