We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Projections onto convex sets parameter estimation through harmony search and its application for image restoration.
- Authors
Pires, Rafael; Pereira, Danillo; Pereira, Luís; Mansano, Alex; Papa, João
- Abstract
Image restoration is a research field that attempts to recover a blurred and noisy image. Although we have one-step algorithms that are often fast for image restoration, iterative formulations allow a better control of the trade-off between the enhancement of high frequencies (image details) and noise amplification. Projections onto convex sets (POCS) is an iterative-and parametric-based approach that employs a priori knowledge about the blurred image to guide the restoration process, with promising results in different application domains. However, a proper choice of its parameters is a high computational burden task, since they are continuous-valued and there are an infinity of possible values to be checked. In this paper, we propose to optimize POCS parameters by means of harmony search-based techniques, since they provide elegant and simple formulations for optimization problems. The proposed approach has been validated in synthetic and real images, being able to select suitable parameters in a reasonable amount of time.
- Subjects
IMAGE reconstruction; CONVEX sets; SET theory; IMAGE processing; MATHEMATICAL optimization
- Publication
Natural Computing, 2016, Vol 15, Issue 3, p493
- ISSN
1567-7818
- Publication type
Article
- DOI
10.1007/s11047-015-9507-4