How to deal with color in super resolution reconstruction of images

Super resolution (SR) reconstruction is a profitable technology to acquire high resolution images from low resolution images without replacing devices. This study was concentrated on searching strategies of dealing with color information in the SR reconstruction process. Based on an algorithm with dictionary learning, different algorithms were designed to test which color coordinate systems could obtain better image reconstruction quality, involving color spaces of RGB, YIQ, YCbCr, HSI, HSV, and CIELAB. Their results were compared via typical numerical measures, and the recommended strategies are to adopt merely L* coordinate in CIELAB space or merely Y coordinate of YIQ system.