The noise is one of the major problem during the digital photography. The causes of noise is lighting effect dude the electrical fault in circuit. The noise is the unwanted pixels of image. It affect the image original colors by creating a white spots or block spots. That noise affect the image quality. In that reasons the noise removal process is important one to getting the best quality image in photography. In our proposed aim to remove the different types of noise in image. Here we remove the additive white Gaussian noise and random noise in image. The white Gaussian noise combined with the random noise (WESNR). The mixed noise removal is one of the difficult process in recent year many of the research will go to process remove the missed noise in digital photography. In this paper use Weighted Encoding with Sparse Nonlocal Regularization algorithm will use to done that process. In our paper we work to remove the mixed noise in image with high accuracy. The WESNR method remove the both noise in image. Here we use local PCA dictionary to encoding the image with higher accuracy.