@inproceedings{079219dd1d1a4f4eb4cd4ca2c9b0c6ee,
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 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.",
author = "Prakash Ishwar and Krishna Ratakonda and Pierre Moulin and Narendra Ahuja",
year = "1998",
doi = "10.1109/ICASSP.1998.681833",
language = "English (US)",
isbn = "0780344286",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1889--1892",
booktitle = "Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998",
address = "United States",
note = "1998 23rd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998 ; Conference date: 12-05-1998 Through 15-05-1998",
}