Download e-book for kindle: Optimization Techniques in Computer Vision: Ill-Posed by Mongi A. Abidi,Andrei V. Gribok,Joonki Paik

By Mongi A. Abidi,Andrei V. Gribok,Joonki Paik

This publication provides useful optimization ideas utilized in photo processing and computing device imaginative and prescient difficulties. Ill-posed difficulties are brought and used as examples to teach how every one kind of challenge is expounded to average picture processing and desktop imaginative and prescient difficulties. Unconstrained optimization supplies the easiest answer in response to numerical minimization of a unmarried, scalar-valued target functionality or price functionality. Unconstrained optimization difficulties were intensively studied, and lots of algorithms and instruments were constructed to unravel them. such a lot sensible optimization difficulties, in spite of the fact that, come up with a suite of constraints. standard examples of constraints contain: (i) pre-specified pixel depth variety, (ii) smoothness or correlation with neighboring details, (iii) life on a undeniable contour of strains or curves, and (iv) given statistical or spectral features of the answer. Regularized optimization is a distinct process used to resolve a category of restricted optimization difficulties. The time period regularization refers back to the transformation of an target functionality with constraints right into a diversified goal functionality, immediately reflecting constraints within the unconstrained minimization approach. as a result of its simplicity and potency, regularized optimization has many program parts, akin to photograph recovery, snapshot reconstruction, optical circulation estimation, etc.

Optimization performs a massive function in a wide selection of theories for photograph processing and laptop vision. Various optimization suggestions are used at diversified degrees for those difficulties, and this quantity summarizes and explains those thoughts as utilized to photo processing and desktop vision.

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Optimization Techniques in Computer Vision: Ill-Posed Problems and Regularization (Advances in Computer Vision and Pattern Recognition) by Mongi A. Abidi,Andrei V. Gribok,Joonki Paik


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