DSP seminar

DATE: Tuesday, Apr 28
TIME: 4 p.m.
LOCATION: Beckman Room 5602

SPEAKER: Prakash Ishwar

TITLE: Image Denoising using Multiple Compaction Domains


		             Abstract
                       
We present a novel framework for denoising signals from their compact
representation in multiple domains. Each domain captures, uniquely,
certain signal characteristics better than others.  We define confidence
sets around noisy data in each domain and find sparse estimates that lie
in the intersection of these sets, using a POCS algorithm. Simulations
demonstrate the superior nature of the reconstruction (both in terms of
mean-square error and perceptual quality) in comparison to the adaptive
Wiener filter.