Self - Similarity Based Image Demosaicking Using Frequency Mapping

In this paper one new compactive demosaicing Algorithm is used for color filter array (CFA). In all the existing algorithm they detect the edges in horizontal-, vertical- or Omni-direction. In the existing algorithm does not detect diagonal edges. We proposed a new approach of similarity-based demosaicing algorithm using unified high-frequency (UHF) map. Similarities between pixels are calculated on a local map called UHF map. A missing sample must be interpolated from the neighboring samples that are highly correlated with the missing sample. This highly correlated neighboring samples are detected by similarity calculation. It is, thus, expected that the proposed algorithm is able to deal with edges of any direction such as diagonal edges. The proposed algorithm improve PSNR and image quality. Again, the proposed algorithm requires fewer resources.