{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,3,5]],"date-time":"2023-03-05T10:19:23Z","timestamp":1678011563137},"reference-count":11,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Inf. Acquisition"],"published-print":{"date-parts":[[2005,6]]},"abstract":"<jats:p> This paper proposes the use of a modified Wiener digital restoration technique for multi-frame image sequences that are degraded by both blur and noise. The proposed multi-channel Wiener restoration filter accounts for both intra-frame (spatial) and inter-frame (temporal) correlation. A modified cross-correlation formula between consecutive frames, which directly utilizes the motion vectors in the calculation of correlation among frames is derived and implemented in a multi-frame Wiener filter. Our modification estimates the motion vectors (horizontal and vertical) between consecutive frames using the three-step method, and then uses the estimated motion vectors to modify the cross-correlation terms in the formula for restoration. The performed simulations verified that the multi-frame restoration algorithm, that uses the motion information among different frames in restoration, gives improved results than both of the single frame independent restoration and the multi-channel restoration without considering the motion vectors. <\/jats:p>","DOI":"10.1142\/s0219878905000490","type":"journal-article","created":{"date-parts":[[2005,7,25]],"date-time":"2005-07-25T14:26:30Z","timestamp":1122301590000},"page":"123-135","source":"Crossref","is-referenced-by-count":3,"title":["A MODIFIED WIENER FILTER FOR MULTI-FRAME RESTORATION OF BLURRED AND NOISY IMAGES"],"prefix":"10.1142","volume":"02","author":[{"given":"S. E.","family":"EL-KHAMY","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Faculty of Engineering, Alexandria University, Alexandria 21544, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"E. M.","family":"SAAD","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Faculty of Engineering, Helwan University, Helwan, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. M.","family":"HADHOUD","sequence":"additional","affiliation":[{"name":"Department of Information Technology, Faculty of Computers and Information, Menoufia University, 32511, Shebin Elkom, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. I.","family":"DESSOUKY","sequence":"additional","affiliation":[{"name":"Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A. M.","family":"ABBAS","sequence":"additional","affiliation":[{"name":"Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"F. E.","family":"ABD EL-SAMIE","sequence":"additional","affiliation":[{"name":"Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,20]]},"reference":[{"key":"rf1","volume-title":"Digital Image Restoration","author":"Andrews H. 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