An improved Hibbard interpolation algorithm based on edge judgement
Tianzhuo Xu, Minghao Yu · 2021
Traditional digital cameras use a Bayer array and image interpolation approach to restore a full-colour image. But there is only one-color sampling on each pixel, and the restoration of other colours on each pixel needs to be achieved through the CFA interpolation algorithms. Most algorithms have some distortions, including Zipper Effect, moiré, false color, etc. For solving the problems, we proposed a novel algorithm for color image interpolation. This algorithm is based on the Hibbard algorithm and is leveraged for edge judgement. Furthermore, the algorithm involves two successive steps. The first step is to determine the direction of the edge by judging the difference in each direction. In contrast, the second step uses subsequent processing methods to improve the recovery effect of pictures. Experimental results show that compared with the Hibbard algorithm, the algorithm we proposed in this paper performs better under multiple indicators on image processing tasks.