Efficient LUT Design Methodologies of Transformation between RGB and HSV for HSV Based Image Enhancements

초록

Algorithms and architectures are presented for efficiently converting RGB to HSV color space and HSV to RGB color space using lookup tables (LUT) to enhance images in widely used HSV color space. These approaches can reduce hardware complexity and improve image qualities by processing complex operations such as division and multiplication with a simpler shared LUT compared to conventional approaches. LUTs for division operations are shared for RGB <-> HSV conversion and HSV color space image enhancement units with a pipeline to maximize semiconductor chip area efficiency. Methods to reduce LUT counts are discussed based on the various LUT curves for each pixel range. The proposed RGB <-> HSV algorithms and architectures are verified for skin tone detection and image enhancement in HSV color space. Finally, the performances of the proposed LUT compression methods are evaluated to show that only around 1% LUTs are required with around 5 times higher throughput compared with conventional methods.

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