Least squares restoration of multi-channel imagesIn this paper, a least squares filter for the restoration of multichannel imagery is presented. The restoration filter is based on a linear, space-invariant imaging model and makes use of an iterative matrix inversion algorithm. The restoration utilizes both within-channel (spatial) and cross-channel information as constraints. Experiments using color images (three-channel imagery with red, green, and blue components) were performed to evaluate the filter's performance and to compare it with other monochrome and multichannel filters.
Document ID
19900050916
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Chin, Roland T. (Wisconsin, University Madison, United States)
Galatsanos, Nikolas P. (Illinois Institute of Technology Chicago, United States)