New Demosaicking Algorithm for CFA Images with Spatial Denoising

Most cost-effective color cameras have single image sensors with a fixed repeating pattern of color filters with transmission spectra analogous to the human eye. To reconstruct a full color image a process often referred to as “demosaicking” is necessary. Almost every past method for demosaicking had the intention to create the most pleasant image for the human observer. The quality of demosaicked images is degraded due to the sensor noise introduced during the image acquisition process. According to the proposed Demosaicking algorithm we can extract edge information in terms of the direction of variation and the gradient from the mosaic image directly and accurately, and the extracted more accurate edge information will be utilized to assist the design of our proposed new demosaicking algorithm. The proposed algorithm is also capable of reducing the interpolation errors which are visually objectionable because they tend to correlate with object boundaries and edges. Proposed algorithm find out the missing color components in the mosaic images captured by the CFA and improve the visual quality of the resulting output.