Blur Identification and Image Restoration Based on Evolutionary Multiple Object Segmentation for Digital Auto-focusing

Lecture Notes in Computer Science - Combinatorial Image Analysis ◽

10.1007/978-3-540-30503-3_50 ◽

2004 ◽

pp. 656-668 ◽

Author(s):

Jeongho Shin ◽

Sunghyun Hwang ◽

Kiman Kim ◽

Jinyoung Kang ◽

Seongwon Lee ◽

...

Keyword(s):

Image Restoration ◽

Object Segmentation ◽

Multiple Object ◽

Blur Identification ◽

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Multiple Object Segmentation in Videos Using Max-Flow Decomposition

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e99.a.2547 ◽

2016 ◽

Vol E99.A (12) ◽

pp. 2547-2557

Author(s):

Yihang BO ◽

Hao JIANG

Keyword(s):

Object Segmentation ◽

Multiple Object ◽

Flow Decomposition

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Online Multiple Object Segmentation in Mask Coefficient Space

10.1109/ispacs51563.2021.9651078 ◽

2021 ◽

Author(s):

Yu-Zhen Huang ◽

Shih-Shinh Huang ◽

Feng-Chia Chang

Keyword(s):

Object Segmentation ◽

Multiple Object ◽

Coefficient Space

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Cepstral Blur Identification by Neural Network for Image Restoration Purpose

ICANN ’93 ◽

10.1007/978-1-4471-2063-6_277 ◽

1993 ◽

pp. 944-944

Author(s):

Sławomir Skoneczny ◽

Rafał Foltyniewicz

Keyword(s):

Neural Network ◽

Image Restoration ◽

Blur Identification

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Image Restoration Preprocessing for Low Light Auto-Focusing in Digital Cameras

2007 IEEE International Symposium on Consumer Electronics ◽

10.1109/isce.2007.4382161 ◽

2007 ◽

Author(s):

Mark Gamadia ◽

Nasser Kehtarnavaz

Keyword(s):

Image Restoration ◽

Digital Cameras ◽

Low Light ◽

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Isotropic Blur Identification for Fully Digital Auto-focusing

Lecture Notes in Computer Science - Image Analysis and Recognition ◽

10.1007/11559573_16 ◽

2005 ◽

pp. 125-132 ◽

Author(s):

Jeongho Shin ◽

Sunghyun Hwang ◽

Seong-Won Lee ◽

Joonki Paik

Keyword(s):

Blur Identification ◽

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Fast Weighted Total Variation Regularization Algorithm for Blur Identification and Image Restoration

IEEE Access ◽

10.1109/access.2016.2516949 ◽

2016 ◽

Vol 4 ◽

pp. 6792-6801 ◽

Author(s):

Haiying Liu ◽

Jason Gu ◽

Max Q.-H. Meng ◽

Wu-Sheng Lu

Keyword(s):

Image Restoration ◽

Total Variation ◽

Total Variation Regularization ◽

Regularization Algorithm ◽

Blur Identification ◽

Weighted Total Variation ◽

Weighted Total Variation Regularization

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Blind restoration of images degraded by space-variant blurs using iterative algorithms for both blur identification and image restoration

Image and Vision Computing ◽

10.1016/s0262-8856(96)01143-2 ◽

1997 ◽

Vol 15 (5) ◽

pp. 399-410 ◽

Author(s):

Y.P. Guo ◽

H.P. Lee ◽

C.L. Teo

Keyword(s):

Image Restoration ◽

Iterative Algorithms ◽

Blur Identification ◽

Blind Restoration ◽

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Super-exponential method for blur identification and image restoration

10.1117/12.186036 ◽

1994 ◽

Author(s):

Thomas J. Kostas ◽

Laurent M. Mugnier ◽

Aggelos K. Katsaggelos ◽

Alan V. Sahakian

Keyword(s):

Image Restoration ◽

Blur Identification ◽

Exponential Method

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Multiple Object Segmentation and Tracking by Bayes Risk Minimization

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46723-8_70 ◽

2016 ◽

pp. 607-615

Author(s):

Tomáš Sixta ◽

Boris Flach

Keyword(s):

Object Segmentation ◽

Risk Minimization ◽

Multiple Object ◽

Segmentation And Tracking

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A recursive approach to joint image restoration and compensated blur identification

Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501) ◽

10.1109/nnsp.2000.890135 ◽

2002 ◽

Author(s):

Kim-Hui Yap ◽

Ling Guan

Keyword(s):

Image Restoration ◽

Blur Identification

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