Sparse representation for color image restoration

作者：Mairal Julien^*; Elad Michael; Sapiro Guillermo

来源：IEEE Transactions on Image Processing, 2008, 17(1): 53-69.

DOI：10.1109/TIP.2007.911828

• color processing
• denoising
• demosaicing
• image decomposition
• image processing
• image representations
• inpainting
• sparse representation

Sparse representations of signals have drawn considerable interest in recent years. The assumption that natural signals, such as images, admit a sparse decomposition over a redundant dictionary leads to efficient algorithms for handling such sources of data. In particular, the design of well adapted dictionaries for images has been a major challenge. The K-SVD has been recently proposed for this task [1] and shown to perform very well for various grayscale image processing tasks. In this paper, we address the problem of learning dictionaries for color images and extend the K-SVD-based grayscale image denoising algorithm that appears in [2]. This work puts forward ways for handling nonhomogeneous noise and missing information, paving the way to state-of-the-art results in applications such as color image denoising, demosaicing, and inpainting, as demonstrated in this paper.

• 出版日期2008-1
• 单位INRIA