Image Restoration via Simultaneous Sparse Coding: Where Structured Sparsity Meets Gaussian Scale Mixture

• Published in: International journal of computer vision Vol. 114; no. 2-3; pp. 217 - 232
• Main Authors: Dong, Weisheng, Shi, Guangming, Ma, Yi, Li, Xin
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2015; Springer Nature B.V
• Subjects: Adaptation; Analysis; Artificial Intelligence; Bayesian analysis; Coding; Computer Imaging; Computer programming; Computer Science; Dictionaries; Gaussian; Image coding; Image processing; Image Processing and Computer Vision; Image processing systems; Image restoration; Mathematical models; Normal distribution; Pattern Recognition; Pattern Recognition and Graphics; Preserves; Sparsity; Studies; Variables; Vision; Simultaneous sparse coding; Gaussian scale mixture; Structured sparsity; Variational image restoration; Alternative minimization

In image processing, sparse coding has been known to be relevant to both variational and Bayesian approaches. The regularization parameter in variational image restoration is intrinsically connected with the shape parameter of sparse coefficients’ distribution in Bayesian methods. How to set those p...