Image Denoising Using Sparse Representations

The problem of removing white zero-mean Gaussian noise from an image is an interesting inverse problem to be investigated in this paper through sparse and redundant representations. However, finding the sparsest possible solution in the noise scenario was of great debate among the researchers. In this paper we make use of new approach to solve this problem and show that it is comparable with the state-of-art denoising approaches.

• Type: Conference
• Year: 2009
• Where: IDA
• Authors: Seyyed Majid Valiollahzadeh, Hamed Firouzi, Massoud Babaie-Zadeh, Christian Jutten
• Keywords: Artificial Intelligence, IDA 2009, Interesting Inverse Problem, State-of-art Denoising Approaches, Zero-mean Gaussian Noise