Dr. Zhenkun Lu Profile

Dr. Zhenkun Lu

at Guangxi Minzu University

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Author

Publications (5)

Proceedings Article | 12 October 2022 Paper

ECA-based generative adversarial network for multi-focus colour image fusion

Xiaojie Luo, Zhenkun Lu

Proceedings Volume 12342, 123423J (2022) https://doi.org/10.1117/12.2643626

KEYWORDS: Image fusion, Image processing, Convolution, Image restoration, Feature extraction, Information fusion, Discrete wavelet transforms, Quantitative analysis

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Proceedings Article | 8 March 2018 Paper

Different focus image fusion based on multi-level scaling

Ruiyan Qian , Zhenkun Lu

Proceedings Volume 10611, 106111D (2018) https://doi.org/10.1117/12.2285516

KEYWORDS: Image fusion, Image processing, Signal to noise ratio, Convolution, Iterative methods, Wavelets, Lutetium, Information science, Image quality, Color imaging

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Proceedings Article | 25 October 2013 Paper

Compressed sensing image processing in the wavelet transform domain

Zhen-kun Lu, Ping Gong, Jin-hu Peng

Proceedings Volume 8919, 89191A (2013) https://doi.org/10.1117/12.2030391

KEYWORDS: Wavelet transforms, Wavelets, Compressed sensing, Surface plasmons, Image processing, Image compression, Medical imaging, Detection theory, Signal processing, Image restoration

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Proceedings Article | 8 December 2011 Paper

Fingerprint image enhancement via log-Gabor filtering

Zhen-kun Lu, Zhen-ming Yu

Proceedings Volume 8003, 80030I (2011) https://doi.org/10.1117/12.900588

KEYWORDS: Image filtering, Image enhancement, Image quality, Feature extraction, Fingerprint recognition, Image analysis, Linear filtering, System identification, Image processing, Reliability

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Proceedings Article | 30 October 2009 Paper

Image fusion via multi-orientation gradient mode of image block and non-down-sampled B-spline wavelet transform

Zhen-kun Lu, Zhen-ming Yu

Proceedings Volume 7495, 74954B (2009) https://doi.org/10.1117/12.831313

KEYWORDS: Image fusion, Wavelets, Wavelet transforms, Image quality, Image filtering, Fusion energy, Convolution, Signal to noise ratio, Image processing, Image restoration

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