Quasi-Newton approach to nonnegative image restorations
Efficient implementations for three nonnegatively constrained image restoration schemes are introduced: constrained least squares, maximum likelihood, and maximum entropy. With a certain parametrization and using a quasi-Newton method, these algorithms become very similar. Numerical experiments show that the new approach is superior to the popular expectation maximizing method with regard to both accuracy and efficiency.
scientific article; zbMATH DE number 1533002
scientific article