<title>MPMAP super-resolution image restoration algorithm based on multiframes or multisensors</title>

2020 ◽

Author(s):

Zeng Xiuyun ◽

Lu Huacai ◽

Zhang Chenyan

Keyword(s):

Image Restoration ◽

Super Resolution ◽

Resolution Image ◽

Restoration Algorithm

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Neural networks as a relevant and effective tool for image restoration. A study of the “super resolution” image restoration algorithm

10.1063/5.0076420 ◽

2021 ◽

Author(s):

A. Ishmukhametova ◽

R. Usmanov

Keyword(s):

Neural Networks ◽

Image Restoration ◽

Super Resolution ◽

Resolution Image ◽

Restoration Algorithm

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Super-Resolution Image Restoration from Blurred Low-Resolution Images

Journal of Mathematical Imaging and Vision ◽

10.1007/s10851-005-2028-5 ◽

2005 ◽

Vol 23 (3) ◽

pp. 367-378 ◽

Cited By ~ 14

Author(s):

Michael K. Ng ◽

Andy C. Yau

Keyword(s):

Image Restoration ◽

Super Resolution ◽

Low Resolution ◽

Resolution Image ◽

Low Resolution Images

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A Method of Super-resolution Image Restoration Based on Separation

2007 Chinese Control Conference ◽

10.1109/chicc.2006.4347342 ◽

2006 ◽

Cited By ~ 1

Author(s):

Zhang Jian ◽

Fan Xiaoping ◽

Huang Cailun

Keyword(s):

Image Restoration ◽

Super Resolution ◽

Resolution Image

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A novel micro-nano measurement method for line width using confocal microscopy with super-resolution image restoration

2013 International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale ◽

10.1109/3m-nano.2013.6737451 ◽

2013 ◽

Author(s):

Dali Liu ◽

Lirong Qiu ◽

Weiqian Zhao

Keyword(s):

Confocal Microscopy ◽

Image Restoration ◽

Line Width ◽

Measurement Method ◽

Super Resolution ◽

Resolution Image

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Super-resolution image restoration algorithms based on orthogonal discrete wavelet transform

10.1117/12.571710 ◽

2005 ◽

Cited By ~ 1

Author(s):

Yang-yang Liu ◽

Wei-qi Jin

Keyword(s):

Wavelet Transform ◽

Image Restoration ◽

Discrete Wavelet Transform ◽

Super Resolution ◽

Discrete Wavelet ◽

Resolution Image ◽

Restoration Algorithms

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Confocal pore size measurement based on super-resolution image restoration

Applied Optics ◽

10.1364/ao.53.005694 ◽

2014 ◽

Vol 53 (25) ◽

pp. 5694 ◽

Cited By ~ 3

Author(s):

Dali Liu ◽

Yun Wang ◽

Lirong Qiu ◽

Xinyue Mao ◽

Weiqian Zhao

Keyword(s):

Image Restoration ◽

Pore Size ◽

Super Resolution ◽

Size Measurement ◽

Resolution Image

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Super-resolution image restoration by combining incremental wiener filter and space-adaptive regularization

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 ◽

10.1109/icnnsp.2003.1281037 ◽

2003 ◽

Cited By ~ 1

Author(s):

Ju Liu ◽

Hua Yan ◽

Jiande Sun ◽

Daozhen Li

Keyword(s):

Image Restoration ◽

Wiener Filter ◽

Super Resolution ◽

Adaptive Regularization ◽

Resolution Image

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Super-resolution image restoration by maximum likelihood method and edge-oriented diffusion

10.1117/12.791021 ◽

2007 ◽

Cited By ~ 2

Author(s):

Hao Zhu ◽

Yu Lu ◽

Qinzhang Wu

Keyword(s):

Maximum Likelihood ◽

Image Restoration ◽

Maximum Likelihood Method ◽

Super Resolution ◽

Likelihood Method ◽

Resolution Image

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Super-resolution image restoration from multiple decimated, blurred and noisy images

10.5353/th_b3029252 ◽

2004 ◽

Author(s):

Chin-ko Yau

Keyword(s):

Image Restoration ◽

Super Resolution ◽

Resolution Image ◽

Noisy Images

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MPMAP super-resolution image restoration algorithm based on multiframes or multisensors

Super Resolution Image Restoration Algorithm : Based on Wavelet and Interpolation

Neural networks as a relevant and effective tool for image restoration. A study of the “super resolution” image restoration algorithm

Super-Resolution Image Restoration from Blurred Low-Resolution Images

A Method of Super-resolution Image Restoration Based on Separation

A novel micro-nano measurement method for line width using confocal microscopy with super-resolution image restoration

Super-resolution image restoration algorithms based on orthogonal discrete wavelet transform

Confocal pore size measurement based on super-resolution image restoration

Super-resolution image restoration by combining incremental wiener filter and space-adaptive regularization

Super-resolution image restoration by maximum likelihood method and edge-oriented diffusion

Super-resolution image restoration from multiple decimated, blurred and noisy images

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