Automated Regularization Parameter Selection in Multi-Scale Total Variation Models for Image Restoration

Yiqiu Dong; Michael Hintermüller; M. Monserrat Rincon‐Camacho

doi:10.1007/s10851-010-0248-9

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Automated Regularization Parameter Selection in Multi-Scale Total Variation Models for Image Restoration

Yiqiu Dong Michael Hintermüller M. Monserrat Rincon‐Camacho

Year: 2010 Journal: Journal of Mathematical Imaging and Vision Vol: 40 (1)Pages: 82-104 Publisher: Springer Science+Business Media

DOI: 10.1007/s10851-010-0248-9

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Keywords:

Mathematics Regularization (linguistics) Smoothing Estimator Mathematical optimization Image restoration Total variation denoising Algorithm Robustness (evolution) Image (mathematics) Computer science Image processing Artificial intelligence Statistics

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Numerical methods in inverse problems

Physical Sciences → Mathematics → Mathematical Physics

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Automated Regularization Parameter Selection in Multi-Scale Total Variation Models for Image Restoration

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