Maximum accurate medical image demosaicing using WRGB based Newton Gregory interpolation method

Abstract

Color image demosaicing is an important image processing technique for obtaining high quality image. This operation is complicated for digital camera, since it converts a Bayer mosaic image to a full color image, which estimates the output image quality of the camera. Nowadays, many techniques are developed to reduce the size and weight of electronic gadgets. In this way, to reduce the size of camera Color Filter Array is used which has only one sensor for three primary colors (Red, Green and Blue). So many demosaicing techniques are developed which reconstruct the full color image from the incomplete color samples in CFA. But till today there is no demosaicing algorithm for medical image re-construction is available in existing literature. In this paper a hybrid medical image demosaicing technique is developed for obtaining better image quality, higher sensitivity as well as higher resolution for high quality medical diagnosis. To improve the medical image quality, Newton Gregory Interpolation is used. This technique mainly focused on Green channel and produce interpolated Red, Green and Blue channels and for enhancing the sensitivity and resolution, updating White channel texture component with RGB channels. In post processing Cross Multilateral Filter is used which decomposes the smoothness component from the texture component. The proposed newton Gregory interpolation based medical image Demosaicing achieves 42.31 db for brain database of NIH and 39.52 db for Iris database of UPOL.