Abstract:

To meet the efficiency requirement of color space conversion in real-time video systems, a new fast algorithm for the color space YCbCr to HSV conversion was proposed based on the simplified shift and look-up table (SSLUT). The transformed image quality assessment was implemented. The process of color space conversion was divided into two steps. First, the fixed-point shift method was used to convert YCbCr to RGB. Second, the color space RGB to HSV conversion was used for look-up table method. The fast algorithm speed was tested based on DSP and PC Testing Platform. The image quality assessment was achieved using the structural similarity (SSIM) and the peak signal to noise ratio (PSNR). The results showed that the real-time capability was satisfactory and the transformed image had high fidelity.

Key words: color space conversion, structural similarity, image quality assessment, PSNR