Color super resolution in HSV domain

In this paper, a new color super-resolution (SR) image reconstruction method for HSV domain is presented. Applying classical SR algorithms to each channel of the HSV video causes an artifact due to the cyclic nature of the hue channel. Proposed method solves this problem without converting the HSV video to RGB video. The proposed method reconstructs the saturation and value channels using maximum a posteriori based SR algorithm. For the hue channel the problematic pixels causing the artifacts are masked and a nearest neighbor interpolation is applied. The proposed method is compared to the classical approach where HSV video is converted to RGB domain and each channel is processed by a MAP based SR algorithm. Peak-signal-to-noise-ratio (PSNR) measures show that the proposed approach does not lower the PSNR values. In this paper, it has also been shown that increasing the resolution of the hue channel does not affect the detail perception. Hence applying SR methods to only S and V channels is sufficient to increase the real-time performance of the image processing systems.