Color Image Demosaicing Based On Weighted Nuclear Norm Minimization

In color images,the color information at each pixel is represented by three colors,red,green and blue.Each color is called a channel.But the cameras utilize color filter array which just captures one color at each pixel,such as red,green or blue.So the captured image is mosaic image.Then digital cameras need to use the demosaicing algorithm to demosaic and then obtain color image.The demosaicing algorithm is a process of getting color images by utilizing the captured color to obtain the other two colors at each pixel.We can find that the demosaicing algorithm is a very important technique to get color images in digital cameras.Therefore,the research of demosaicing algorithm has important theoretical and practical significance.In this paper,the method we focus on is color image demosaicing based on weighted nuclear norm minimization.Firstly,we introduce the problem of color image demosaicing,give the summary of demosaicing methods and also introduce the weighted nuclear norm minimization method.Secondly,we use inter-channel correlation information to propose the color image demosaicing model which based on weighted nuclear norm minimization method.Thirdly,we design alternating iterative algorithm to solve the proposed model.At last,we list results of our method and some other mthods.We compare our results with other demosaicing methods in two aspects,visual aspect and experimental aspect.The results demonstrate that the demosaiced images obtained by our proposed model are better.