{"scopus_import":"1","year":"2005","author":[{"last_name":"Bronstein","first_name":"M.M.","full_name":"Bronstein, M.M."},{"first_name":"Alexander","orcid":"0000-0001-9699-8730","last_name":"Bronstein","full_name":"Bronstein, Alexander","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6"},{"full_name":"Zibulevsky, M.","last_name":"Zibulevsky","first_name":"M."},{"last_name":"Zeevi","first_name":"Y.Y.","full_name":"Zeevi, Y.Y."}],"language":[{"iso":"eng"}],"citation":{"ieee":"M. M. Bronstein, A. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “Blind deconvolution of images using optimal sparse representations,” <i>IEEE Transactions on Image Processing</i>, vol. 14, no. 6. Institute of Electrical and Electronics Engineers, pp. 726–736, 2005.","ista":"Bronstein MM, Bronstein AM, Zibulevsky M, Zeevi YY. 2005. Blind deconvolution of images using optimal sparse representations. IEEE Transactions on Image Processing. 14(6), 726–736.","mla":"Bronstein, M. M., et al. “Blind Deconvolution of Images Using Optimal Sparse Representations.” <i>IEEE Transactions on Image Processing</i>, vol. 14, no. 6, Institute of Electrical and Electronics Engineers, 2005, pp. 726–36, doi:<a href=\"https://doi.org/10.1109/tip.2005.847322\">10.1109/tip.2005.847322</a>.","apa":"Bronstein, M. M., Bronstein, A. M., Zibulevsky, M., &#38; Zeevi, Y. Y. (2005). Blind deconvolution of images using optimal sparse representations. <i>IEEE Transactions on Image Processing</i>. Institute of Electrical and Electronics Engineers. <a href=\"https://doi.org/10.1109/tip.2005.847322\">https://doi.org/10.1109/tip.2005.847322</a>","ama":"Bronstein MM, Bronstein AM, Zibulevsky M, Zeevi YY. Blind deconvolution of images using optimal sparse representations. <i>IEEE Transactions on Image Processing</i>. 2005;14(6):726-736. doi:<a href=\"https://doi.org/10.1109/tip.2005.847322\">10.1109/tip.2005.847322</a>","chicago":"Bronstein, M.M., Alex M. Bronstein, M. Zibulevsky, and Y.Y. Zeevi. “Blind Deconvolution of Images Using Optimal Sparse Representations.” <i>IEEE Transactions on Image Processing</i>. Institute of Electrical and Electronics Engineers, 2005. <a href=\"https://doi.org/10.1109/tip.2005.847322\">https://doi.org/10.1109/tip.2005.847322</a>.","short":"M.M. Bronstein, A.M. Bronstein, M. Zibulevsky, Y.Y. Zeevi, IEEE Transactions on Image Processing 14 (2005) 726–736."},"date_published":"2005-05-16T00:00:00Z","status":"public","publication_status":"published","month":"05","article_type":"original","_id":"18407","date_updated":"2024-10-18T11:28:56Z","article_processing_charge":"No","pmid":1,"title":"Blind deconvolution of images using optimal sparse representations","issue":"6","external_id":{"pmid":["15971772"]},"abstract":[{"lang":"eng","text":"The relative Newton algorithm, previously proposed for quasi-maximum likelihood blind source separation and blind deconvolution of one-dimensional signals is generalized for blind deconvolution of images. Smooth approximation of the absolute value is used as the nonlinear term for sparse sources. In addition, we propose a method of sparsification, which allows blind deconvolution of arbitrary sources, and show how to find optimal sparsifying transformations by supervised learning."}],"extern":"1","date_created":"2024-10-15T11:20:54Z","intvolume":"        14","type":"journal_article","page":"726-736","volume":14,"publication_identifier":{"issn":["1057-7149"]},"quality_controlled":"1","publication":"IEEE Transactions on Image Processing","day":"16","publisher":"Institute of Electrical and Electronics Engineers","oa_version":"None","doi":"10.1109/tip.2005.847322","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9"}