Local self similarity-based super-resolution for asymmetric dual-camera
Byeongho Moon, Soohwan Yu, Seungyong Ko, Seonhee Park, Joonki Paik · 2016
This paper presents a super-resolution (SR) method for the asymmetric dual-camera system. The proposed method restores the high-resolution (HR) image using the local self-similarity between two input images as wide- and tele-view images. The proposed method consists of three steps: registration and warping processes to reduce the disparity between the input images, high-frequency patch extraction from the tele-view image, and super-resolution reconstruction using local self-similarity property. Experimental results show that the proposed method can significantly restore the HR image than existing interpolation and SR methods.