@incollection{Nikolas2000,
abstract = {Multichannel images refer to collections of image channels that are not identical but exhibit strong between-channel correlations. Image recovery refers to the computation of an image from observed data that alone do not uniquely define the desired image. Important examples are image denoising, image deblurring, decoding of compressed images, and medical image reconstruction. This chapter focuses on the problem of image recovery as it applies specifically to multichannel images. It presents the multichannel observation model and reviews basic image recovery approaches. It also describes the explicit approach and illustrates it using an example of restoration of video image sequences. Further, the implicit approach is explained and is illustrated using an example of the reconstruction of time-varying medical images. {\textcopyright} 2005 Elsevier Inc. All rights reserved.},
author = {Galatsanos, Nikolas P. and Wernick, Miles N. and Katsaggelos, Aggelos K. and Molina, Rafael},
booktitle = {Handbook of Image and Video Processing},
doi = {10.1016/B978-012119792-6/50076-0},
isbn = {9780121197926},
pages = {203--217},
publisher = {Elsevier},
title = {{Multichannel Image Recovery}},
url = {https://linkinghub.elsevier.com/retrieve/pii/B9780121197926500760},
volume = {12},
year = {2005}
}

{"_id":"8RGcg9ZC7pwDLzWw2","bibbaseid":"galatsanos-wernick-katsaggelos-molina-multichannelimagerecovery-2005","author_short":["Galatsanos, N. P.","Wernick, M. N.","Katsaggelos, A. K.","Molina, R."],"bibdata":{"bibtype":"incollection","type":"incollection","abstract":"Multichannel images refer to collections of image channels that are not identical but exhibit strong between-channel correlations. Image recovery refers to the computation of an image from observed data that alone do not uniquely define the desired image. Important examples are image denoising, image deblurring, decoding of compressed images, and medical image reconstruction. This chapter focuses on the problem of image recovery as it applies specifically to multichannel images. It presents the multichannel observation model and reviews basic image recovery approaches. It also describes the explicit approach and illustrates it using an example of restoration of video image sequences. Further, the implicit approach is explained and is illustrated using an example of the reconstruction of time-varying medical images. © 2005 Elsevier Inc. All rights reserved.","author":[{"propositions":[],"lastnames":["Galatsanos"],"firstnames":["Nikolas","P."],"suffixes":[]},{"propositions":[],"lastnames":["Wernick"],"firstnames":["Miles","N."],"suffixes":[]},{"propositions":[],"lastnames":["Katsaggelos"],"firstnames":["Aggelos","K."],"suffixes":[]},{"propositions":[],"lastnames":["Molina"],"firstnames":["Rafael"],"suffixes":[]}],"booktitle":"Handbook of Image and Video Processing","doi":"10.1016/B978-012119792-6/50076-0","isbn":"9780121197926","pages":"203–217","publisher":"Elsevier","title":"Multichannel Image Recovery","url":"https://linkinghub.elsevier.com/retrieve/pii/B9780121197926500760","volume":"12","year":"2005","bibtex":"@incollection{Nikolas2000,\nabstract = {Multichannel images refer to collections of image channels that are not identical but exhibit strong between-channel correlations. Image recovery refers to the computation of an image from observed data that alone do not uniquely define the desired image. Important examples are image denoising, image deblurring, decoding of compressed images, and medical image reconstruction. This chapter focuses on the problem of image recovery as it applies specifically to multichannel images. It presents the multichannel observation model and reviews basic image recovery approaches. It also describes the explicit approach and illustrates it using an example of restoration of video image sequences. Further, the implicit approach is explained and is illustrated using an example of the reconstruction of time-varying medical images. {\\textcopyright} 2005 Elsevier Inc. All rights reserved.},\nauthor = {Galatsanos, Nikolas P. and Wernick, Miles N. and Katsaggelos, Aggelos K. and Molina, Rafael},\nbooktitle = {Handbook of Image and Video Processing},\ndoi = {10.1016/B978-012119792-6/50076-0},\nisbn = {9780121197926},\npages = {203--217},\npublisher = {Elsevier},\ntitle = {{Multichannel Image Recovery}},\nurl = {https://linkinghub.elsevier.com/retrieve/pii/B9780121197926500760},\nvolume = {12},\nyear = {2005}\n}\n","author_short":["Galatsanos, N. P.","Wernick, M. N.","Katsaggelos, A. K.","Molina, R."],"key":"Nikolas2000","id":"Nikolas2000","bibbaseid":"galatsanos-wernick-katsaggelos-molina-multichannelimagerecovery-2005","role":"author","urls":{"Paper":"https://linkinghub.elsevier.com/retrieve/pii/B9780121197926500760"},"metadata":{"authorlinks":{}}},"bibtype":"incollection","biburl":"https://sites.northwestern.edu/ivpl/files/2023/06/IVPL_Updated_publications-1.bib","dataSources":["qhF8zxmGcJfvtdeAg","fvDEHD49E2ZRwE3fb","H7crv8NWhZup4d4by","DHqokWsryttGh7pJE","vRJd4wNg9HpoZSMHD","sYxQ6pxFgA59JRhxi","w2WahSbYrbcCKBDsC","XasdXLL99y5rygCmq","3gkSihZQRfAD2KBo3","t5XMbyZbtPBo4wBGS","bEpHM2CtrwW2qE8FP","teJzFLHexaz5AQW5z"],"keywords":[],"search_terms":["multichannel","image","recovery","galatsanos","wernick","katsaggelos","molina"],"title":"Multichannel Image Recovery","year":2005}