Introduction to Inverse Problems in Imaging
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Cover Half Title Title Page Copyright Page Dedication Contents Preface to the first edition Preface to the second edition Author Bios Acronyms 1. Introduction Part I: Image Deconvolution 2. Examples of image blurring 3. The ill-posedness of image deconvolution 4. Quadratic Tikhonov regularization and filtering 5. Iterative regularization methods Part II: Linear Inverse Problems 6. Examples of linear inverse problems 7. Singular value decomposition (SVD) 8. Inversion methods revisited 9. Edge-preserving regularization 10. Sparsity-enforcing regularization Part III: Statistical Methods 11. Statistical approaches to linear inverse problems 12. Statistical methods in the case of additive Gaussian noise 13. Statistical methods in the case of Poisson data 14. Conclusions References Index
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