Numerical methods for edge-preserving image restoration.

Chen, Donghui.
2017-04-19T12:48:56.027Z

Abstract: Many digital image applications rely on the image quality. Unfortunately, images often are degraded by noise and blur during the formation, transmission, and recording processes. Hence, image restoration is a necessary processing step. Many current image restoration methods lose edge information while removing the defects. This work focuses on developing accurate mathematical models and ... read more

Subjects
Tufts University. Department of Mathematics.
Permanent URL
http://hdl.handle.net/10427/011617
ID: tufts:21093
To Cite: DCA Citation Guide