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Volumn , Issue , 2006, Pages 1729-1732

Blind super-resolution image reconstruction using a maximum a posteriori estimation

Author keywords

Conjugate gradient methods; Image resolution; Image restoration; MAP estimation

Indexed keywords

ALTERNATING MINIMIZATION; BLIND SUPER-RESOLUTION; BLUR IDENTIFICATION; BLURRING FUNCTIONS; HIGH RESOLUTION IMAGE; IMAGE FORMATION PROCESS; IMAGE RESTORATION; IMAGE SUPER-RESOLUTION; ITERATIVE SCHEMES; LIMITED INFORMATION; LOW RESOLUTION IMAGES; MAP ESTIMATION; MAXIMUM A POSTERIORI ESTIMATION; SMOOTHNESS CONSTRAINTS; SUPER-RESOLUTION IMAGE RECONSTRUCTION;

EID: 36348973914     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.312715     Document Type: Conference Paper
Times cited : (24)

References (10)
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  • 6
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  • 8
    • 0041426516 scopus 로고    scopus 로고
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    • (2003) IEEE Transaction on Image Processing , vol.12 , pp. 1094-1106
    • Sroubek, F.1    Flusser, J.2
  • 9
    • 0031492191 scopus 로고    scopus 로고
    • Image recovery via total variation minimization and related problems
    • A. Chambolle and P. Lions, "Image recovery via total variation minimization and related problems," Numer. Math., vol. 76, pp. 167-188, 1997.
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    • Chambolle, A.1    Lions, P.2
  • 10
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    • A regularization framework for joint blur estimation and super-resolution of video sequences
    • H. He and L. P. Kondi, "A regularization framework for joint blur estimation and super-resolution of video sequences," Proceedings of the IEEE International Conference on Image Processing, vol. 3, pp. 11-14, 2005.
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    • He, H.1    Kondi, L.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.