Constrained optimization for image restoration using nonlinear programmingThe constrained optimization problem for image restoration, utilizing incomplete information and partial constraints, is formulated using nonlinear proramming techniques. This method restores a distorted image by optimizing a chosen object function subject to available constraints. The penalty function method of nonlinear programming is used. Both linear or nonlinear object function, and linear or nonlinear constraint functions can be incorporated in the formulation. This formulation provides a generalized approach to solve constrained optimization problems for image restoration. Experiments using this scheme have been performed. The results are compared with those obtained from other restoration methods and the comparative study is presented.
Document ID
19850053835
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Yeh, C.-L. (Eastman Kodak Research Laboratories, Rochester, NY; Wisconsin, University Madison, WI, United States)
Chin, R. T. (Wisconsin, University Madison, WI, United States)