An Overview of State-of-the-art Denoising and Demosaicking Techniques: toward a Unified Framework for Handling Artifacts during Image Reconstruction

Pushing the physical limits of the camera sensors brings significant challenges to image post-processing techniques, which often have to work under various constraints, such as low-power, limited memory and computational resources. Other platforms, e.g., desktop PCs suffer less from these issues, allowing extra room for improved reconstruction. Moreover, the captured images are subject to many sources of imperfection (e.g., noise, blur, saturation) which complicate the processing. In this paper, we give an overview of some recent work aimed at overcoming these problems. We focus especially on denoising, deblurring and demosaicking techniques.