Multiplicative Denoising and Deblurring: Theory and Algorithms
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In [447, 449, 450], a constrained optimization type of numerical algorithm for restoring blurry, noisy images was developed and successfully tested. In this paper we present both theoretical and experimental justification for the method. Our main theoretical results involve constrained nonlinear partial differential equations. Our main experimental results involve blurry images which have been further corrupted with multiplicative noise. As in additive noise case of [447, 450] our numerical algorithm is simple to implement and is nonoscillatory (minimal ringing) and noninvasive (recovers sharp edges).
- Multiplicative Denoising and Deblurring: Theory and Algorithms
- Book Title
- Geometric Level Set Methods in Imaging, Vision, and Graphics
- Book Part
- Part III
- pp 103-119
- Print ISBN
- Online ISBN
- Springer New York
- Copyright Holder
- Springer-Verlag New York, Inc.
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