Prof. Zexun Geng Profile

Prof. Zexun Geng

at Zhengzhou Institute of Surveying and Mapping

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Author

Publications (16)

Proceedings Article | 10 October 2023 Paper

An image defog iteration algorithm for optimal estimation of atmospheric light direction

Wang Guan, Rajamohan Parthasarathy, Geng Zexun

Proceedings Volume 12799, 1279919 (2023) https://doi.org/10.1117/12.3006087

KEYWORDS: Atmospheric modeling, RGB color model, Fiber optic gyroscopes, Signal intensity, Image transmission, Image restoration, Image quality

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Proceedings Article | 21 August 2014 Paper

A piston error detection method of optical synthetic aperture system

Xiaofeng Wei, Zexun Geng, Chao Jiang, Chubin Liu

Proceedings Volume 9233, 923326 (2014) https://doi.org/10.1117/12.2068326

KEYWORDS: Point spread functions, Imaging systems, Error analysis, Signal to noise ratio, Interference (communication), Image resolution, Optical imaging, Error control coding, Synthetic aperture imaging, CCD image sensors

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Proceedings Article | 21 February 2014 Paper

Analysis the application of several denoising algorithm in the astronomical image denoising

Chao Jiang, Ze-xun Geng, Yong-qiang Bao, Xiao-feng Wei, Ying-feng Pan

Proceedings Volume 9142, 91421N (2014) https://doi.org/10.1117/12.2054427

KEYWORDS: Denoising, Image denoising, Image processing, Image restoration, Interference (communication), Image quality, 3D image processing, Image filtering, Reconstruction algorithms, Astronomy

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Proceedings Article | 20 August 2013 Paper

SIFT implementation based on GPU

Chao Jiang, Ze-xun Geng, Xiao-feng Wei, Chen Shen

Proceedings Volume 8913, 891304 (2013) https://doi.org/10.1117/12.2031661

KEYWORDS: Image processing, Visualization, Detection and tracking algorithms, Reconstruction algorithms, 3D image reconstruction, Feature extraction, Convolution, Stereoscopic cameras, OpenGL, Digital photography

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Abstract—Image matching is the core research topics of digital photogrammetry and computer vision. SIFT(Scale-Invariant Feature Transform) algorithm is a feature matching algorithm based on local invariant features which is proposed by Lowe at 1999, SIFT features are invariant to image rotation and scaling, even partially invariant to change in 3D camera viewpoint and illumination. They are well localized in both the spatial and frequency domains, reducing the probability of disruption by occlusion, clutter, or noise. So the algorithm has a widely used in image matching and 3D reconstruction based on stereo image. Traditional SIFT algorithm's implementation and optimization are generally for CPU. Due to the large numbers of extracted features(even if only several objects can also extract large numbers of SIFT feature), high-dimensional of the feature vector(usually a 128-dimensional SIFT feature vector), and the complexity for the SIFT algorithm, therefore the SIFT algorithm on the CPU processing speed is slow, hard to fulfil the real-time requirements. Programmable Graphic Process United(PGPU) is commonly used by the current computer graphics as a dedicated device for image processing. The development experience of recent years shows that a high-performance GPU, which can be achieved 10 times single-precision floating-point processing performanceone compared with the same time of a high-performance desktop CPU, simultaneity the GPU's memory bandwidth is up to five times compared with the same period desktop platform. Provide the same computing power, the GPU's cost and power consumption should be less than the CPU-based system. At the same time, due to the parallel nature of graphics rendering and image processing, so GPU-accelerated image processing become to an efficient solution for some algorithm which have requirements for real-time. In this paper, we realized the algorithm by OpenGL shader language and compare to the results which realized by CPU. Experiments demonstrate that the efficiency of GPU-based SIFT algorithm are significantly improved.

Proceedings Article | 24 September 2012 Paper

The optical synthetic aperture image restoration based on the improved maximum-likelihood algorithm

Zexun Geng, Qing Xu, Baoming Zhang, Zhihui Gong

Proceedings Volume 8451, 845139 (2012) https://doi.org/10.1117/12.925301

KEYWORDS: Point spread functions, Image restoration, Reconstruction algorithms, Imaging systems, Modulation transfer functions, Filtering (signal processing), Inverse optics, Image resolution, Image processing, Deconvolution

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Proceedings Article | 5 May 2009 Paper

A modified image restoration algorithm for multiframe degraded images

Zexun Geng, Zhenlei Zhao, Xiang Song

Proceedings Volume 7351, 735105 (2009) https://doi.org/10.1117/12.817831

KEYWORDS: Image restoration, Point spread functions, Deconvolution, Digital filtering, Image processing, Signal to noise ratio, Interference (communication), Algorithm development, Image quality, Image filtering

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Proceedings Article | 3 February 2009 Paper

Hybrid regularization restoration for adaptive optics image

Bo Chen, Ze-xun Geng, Jun Shen, Yang Yang

Proceedings Volume 7160, 716003 (2009) https://doi.org/10.1117/12.804857

KEYWORDS: Deconvolution, Image restoration, Wavelets, Adaptive optics, Interference (communication), Chemical vapor deposition, Filtering (signal processing), Signal to noise ratio, Atmospheric turbulence, Fourier transforms

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Proceedings Article | 3 February 2009 Paper

Wavelet-based adaptive regularization deconvolution for turbulence-degraded image

Bo Chen, Ze-xun Geng, Tian-Shuang Shen, Yang Yang

Proceedings Volume 7157, 71570I (2009) https://doi.org/10.1117/12.804855

KEYWORDS: Wavelets, Image restoration, Wavelet transforms, Deconvolution, Point spread functions, Linear filtering, Filtering (signal processing), Atmospheric turbulence, Image filtering, Fourier transforms

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Proceedings Article | 28 January 2009 Paper

The simulated remote sensing image acquisition and restoration based on optical sparse aperture system

ZhenGuo Wang, YaXin Zhang, ZeXun Geng, XueLian Sui, Bing Li

Proceedings Volume 7156, 715616 (2009) https://doi.org/10.1117/12.807115

KEYWORDS: Imaging systems, Remote sensing, Filtering (signal processing), Image processing, Spatial frequencies, Image resolution, Image restoration, Modulation transfer functions, Spectral resolution, Signal to noise ratio

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Proceedings Article | 29 December 2008 Paper

Enhanced RL-IBD algorithm for image restoration

Bo Chen, Ze-xun Geng, Shu-long Zhu, Yang Yang

Proceedings Volume 7285, 72851M (2008) https://doi.org/10.1117/12.815892

KEYWORDS: Point spread functions, Image restoration, Deconvolution, Image analysis, Wavelets, Image enhancement, Optical imaging, Atmospheric turbulence, Image deconvolution, Diffraction

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Proceedings Article | 10 July 2008 Paper

Dynamic support region-based astronomical image deconvolution algorithm

Ze-xun Geng, Bo Chen, Qing Xu, Bao-ming Zhang, Zhi-hui Gong

Proceedings Volume 7015, 70152L (2008) https://doi.org/10.1117/12.788163

KEYWORDS: Image restoration, Point spread functions, Binary data, Deconvolution, Wavelets, Image segmentation, Image deconvolution, Astronomy, Edge detection, Adaptive optics

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Proceedings Article | 5 March 2008 Paper

Adaptive optics images joint deconvolution based on power spectra density of object and PSF

Bo Chen, Ze-xun Geng, Mao-lin Wang, Jing Yang, Yax-in Zhang

Proceedings Volume 6623, 66230J (2008) https://doi.org/10.1117/12.791404

KEYWORDS: Point spread functions, Deconvolution, Adaptive optics, Wavefronts, Sensors, Image processing, Wavefront sensors, Turbulence, Cameras, Fourier transforms

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Proceedings Article | 15 November 2007 Paper

Joint deconvolution of adaptive optics images from slope measurements of wavefront sensor

Bo Chen, Ze-xun Geng, Yang Yang, Ya-xin Zhang, Zhen-lei Zhao

Proceedings Volume 6786, 678608 (2007) https://doi.org/10.1117/12.740124

KEYWORDS: Deconvolution, Adaptive optics, Wavefront sensors, Wavefronts, Point spread functions, Sensors, Turbulence, Image processing, Atmospheric turbulence, CCD cameras

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Proceedings Article | 14 November 2007 Paper

Adaptive optics image deconvolution based on a modified Richardson-Lucy algorithm

Bo Chen, Ze-xun Geng, Xiao-dong Yan, Yang Yang, Xue-lian Sui, Zhen-lei Zhao

Proceedings Volume 6722, 672218 (2007) https://doi.org/10.1117/12.782964

KEYWORDS: Adaptive optics, Deconvolution, Image restoration, Point spread functions, Image deconvolution, Expectation maximization algorithms, Iterative methods, Image processing, Image analysis, Convolution

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Proceedings Article | 22 March 1999 Paper

Exact reconstruction of finite-length digital signal in wavelet transform

Zexun Geng, Zengbo Qian

Proceedings Volume 3723, (1999) https://doi.org/10.1117/12.342955

KEYWORDS: Digital signal processing, Wavelets, Signal processing, Wavelet transforms, Linear filtering, Curium, Electronic filtering, Data processing, Computer programming, Signal to noise ratio

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Proceedings Article | 19 August 1998 Paper

Modified method for assessing geometric distortion of image compression

Zexun Geng, Zengbo Qian

Proceedings Volume 3504, (1998) https://doi.org/10.1117/12.319522

KEYWORDS: Image compression, Distortion, Remote sensing, Photogrammetry, Digital imaging, Image storage, Image transmission, Digital photography, Image processing, Digital image processing

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Showing 5 of 16 publications

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