Least squares and total least squares methods in image restoration

Julie Kamm; James G. Nagy

doi:10.1007/3-540-62598-4_96

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Least squares and total least squares methods in image restoration

Julie Kamm James G. Nagy

Year: 1997 Lecture notes in computer science Pages: 212-219 Publisher: Springer Science+Business Media

DOI: 10.1007/3-540-62598-4_96

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Keywords:

Least-squares function approximation Image restoration Mathematics Regularization (linguistics) Algorithm Total least squares Noise (video) Context (archaeology) Image (mathematics) Mathematical optimization Computer science Artificial intelligence Image processing Statistics Singular value decomposition Geography

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Statistical and numerical algorithms

Physical Sciences → Mathematics → Applied Mathematics

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Numerical methods in inverse problems

Physical Sciences → Mathematics → Mathematical Physics

Least squares and total least squares methods in image restoration

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