Dr. Jun Zhang Profile

Dr. Jun Zhang

SDL Author at Univ of Wisconsin-Milwaukee

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Author

Publications (33)

SPIE Journal Paper | 7 March 2023

TextureWGAN: texture preserving WGAN with multitask regularizer for computed tomography inverse problems

Masaki Ikuta, Jun Zhang

JMI, Vol. 10, Issue 02, 024003, (March 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.2.024003

KEYWORDS: Education and training, CT reconstruction, Image analysis, Statistical analysis, Matrices, Medical imaging, Image processing, Computed tomography, Gallium nitride, Cooccurrence matrices

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PurposeThis paper presents a deep learning (DL) based method called TextureWGAN. It is designed to preserve image texture while maintaining high pixel fidelity for computed tomography (CT) inverse problems. Over-smoothed images by postprocessing algorithms have been a well-known problem in the medical imaging industry. Therefore, our method tries to solve the over-smoothing problem without compromising pixel fidelity.ApproachThe TextureWGAN extends from Wasserstein GAN (WGAN). The WGAN can create an image that looks like a genuine image. This aspect of the WGAN helps preserve image texture. However, an output image from the WGAN is not correlated to the corresponding ground truth image. To solve this problem, we introduce the multitask regularizer (MTR) to the WGAN framework to make a generated image highly correlated to the corresponding ground truth image so that the TextureWGAN can achieve high-level pixel fidelity. The MTR is capable of using multiple objective functions. In this research, we adopt a mean squared error (MSE) loss to maintain pixel fidelity. We also use a perception loss to improve the look and feel of result images. Furthermore, the regularization parameters in the MTR are trained along with generator network weights to maximize the performance of the TextureWGAN generator.ResultsThe proposed method was evaluated in CT image reconstruction applications in addition to super-resolution and image-denoising applications. We conducted extensive qualitative and quantitative evaluations. We used PSNR and SSIM for pixel fidelity analysis and the first-order and the second-order statistical texture analysis for image texture. The results show that the TextureWGAN is more effective in preserving image texture compared with other well-known methods such as the conventional CNN and nonlocal mean filter (NLM). In addition, we demonstrate that TextureWGAN can achieve competitive pixel fidelity performance compared with CNN and NLM. The CNN with MSE loss can attain high-level pixel fidelity, but it often damages image texture.ConclusionsTextureWGAN can preserve image texture while maintaining pixel fidelity. The MTR is not only helpful to stabilize the TextureWGAN’s generator training but also maximizes the generator performance.

Proceedings Article | 4 April 2022 Presentation + Paper

A deep recurrent neural network with primal-dual optimization for CT metal artifact reduction

Masaki Ikuta, Jun Zhang

Proceedings Volume 12032, 120321I (2022) https://doi.org/10.1117/12.2605604

KEYWORDS: Metals, Neural networks, X-rays, X-ray computed tomography

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Proceedings Article | 15 February 2021 Presentation + Paper

TextureWGAN: texture preserving WGAN with MLE regularizer for inverse problems

Masaki Ikuta, Jun Zhang

Proceedings Volume 11596, 1159618 (2021) https://doi.org/10.1117/12.2580434

KEYWORDS: Inverse problems, Image analysis, Medical imaging, Super resolution, Statistical analysis, Signal to noise ratio, Machine learning, Image restoration, Gallium nitride, Convolutional neural networks

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Proceedings Article | 16 March 2020 Paper

A deep RNN for CT image reconstruction

Jun Zhang, Hongquan Zuo

Proceedings Volume 11312, 113124N (2020) https://doi.org/10.1117/12.2549809

KEYWORDS: CT reconstruction, Neural networks, Metals, Stochastic processes, Reconstruction algorithms, Image processing, Computed tomography, Medical imaging, Network architectures, X-ray computed tomography

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Proceedings Article | 1 March 2019 Paper

Iterative CT image reconstruction using neural network optimization algorithms

Jun Zhang, Hongquan Zuo

Proceedings Volume 10948, 1094863 (2019) https://doi.org/10.1117/12.2512329

KEYWORDS: Reconstruction algorithms, Neural networks, Stochastic processes, CT reconstruction, Image processing, X-ray computed tomography, Optimization (mathematics)

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Proceedings Article | 9 March 2018 Paper

Detector output prediction for CT detector array manufacturing

H. Zuo, Y. Lu, D. Xiang, J. Zhang, J. Peplinski, M. Adamak

Proceedings Volume 10573, 105735Z (2018) https://doi.org/10.1117/12.2293169

KEYWORDS: Sensors, Neural networks, Manufacturing, Detector arrays, Image processing, Image quality, Optimization (mathematics), Matrices

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Proceedings Article | 2 March 2018 Paper

Multi-grid nonlocal techniques for x-ray scatter correction

Yingying Gu, Jun Zhang, Ping Xue

Proceedings Volume 10574, 105741O (2018) https://doi.org/10.1117/12.2293347

KEYWORDS: X-rays, Image restoration, Algorithm development, Image processing, Image filtering, X-ray imaging, Image resolution, Image quality

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Proceedings Article | 24 February 2017 Presentation + Paper

Resolution enhancement for x-ray images

Hongquan Zuo, Jun Zhang

Proceedings Volume 10133, 101331L (2017) https://doi.org/10.1117/12.2250666

KEYWORDS: Resolution enhancement technologies, Image resolution, X-ray imaging, X-rays, Medical imaging, Algorithm development, Image enhancement, Statistical analysis, Super resolution, Fractal analysis, Image analysis

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Proceedings Article | 24 February 2017 Paper

Scatter correction by non-local techniques

Yingying Gu, Jun Zhang, Ping Xue

Proceedings Volume 10133, 101331K (2017) https://doi.org/10.1117/12.2251542

KEYWORDS: Image restoration, X-ray imaging, Algorithm development, Software development, X-rays, Deconvolution, Computer simulations, Image enhancement, Model-based design, Data modeling, Image processing, Computed tomography, Image analysis

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SPIE Journal Paper | 15 May 2012

Compressed sensing algorithms for fan-beam computed tomography image reconstruction

Jun Zhang, Jun Wang, Hongquan Zuo, Guangwu Xu, Jean-Baptiste Thibault

OE, Vol. 51, Issue 7, 071402, (May 2012) https://doi.org/10.1117/12.10.1117/1.OE.51.7.071402

KEYWORDS: Computed tomography, CT reconstruction, Reconstruction algorithms, Compressed sensing, Image restoration, Error analysis, 3D image processing, Algorithm development, Optical engineering, Computer simulations

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Proceedings Article | 24 February 2012 Paper

Multi-slice and multi-frame image reconstruction by predictive compressed sensing

Jun Zhang, Jun Wang, Guangwu Xu, Jean-Baptiste Thibault

Proceedings Volume 8314, 83144M (2012) https://doi.org/10.1117/12.911150

KEYWORDS: Image quality, Image compression, Compressed sensing, Image restoration, CT reconstruction, Computed tomography, Scanners, Video compression, Gold, Reconstruction algorithms

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Proceedings Article | 17 March 2011 Paper

Compressed sensing algorithms for fan-beam CT image reconstruction

Jun Zhang, Jun Wang, Guangwu Xu, Jean-Baptiste Thibault

Proceedings Volume 7961, 796131 (2011) https://doi.org/10.1117/12.877619

KEYWORDS: Compressed sensing, Computed tomography, Reconstruction algorithms, CT reconstruction, Fluctuations and noise, Image restoration, 3D image processing, Computer simulations, Convex optimization, Computer programming

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Proceedings Article | 2 September 2009 Paper

A novel technique for vision-based UAV navigation

J. Zhang, W. Liu, Y. Wu

Proceedings Volume 7443, 744303 (2009) https://doi.org/10.1117/12.827497

KEYWORDS: Unmanned aerial vehicles, Video, Error analysis, Cameras, Reconstruction algorithms, Particle filters, Imaging systems, Error control coding, Global Positioning System, Vision-based navigation

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Proceedings Article | 14 March 2009 Paper

Color flow image segmentation

J. Zhang, W. Hu, Z. Wu

Proceedings Volume 7265, 72650V (2009) https://doi.org/10.1117/12.811844

KEYWORDS: Image segmentation, Statistical analysis, Tissues, Blood circulation, Medical imaging, Ultrasonography, Signal processing, Current controlled current source, Principal component analysis, Color imaging

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Proceedings Article | 13 March 2009 Paper

Image-guided tumor motion modeling and tracking

J. Zhang, Y. Wu, W. Liu, J. Christensen, A. Tai, A. Li

Proceedings Volume 7264, 72640K (2009) https://doi.org/10.1117/12.810741

KEYWORDS: Tumors, Motion models, Data modeling, Medical imaging, Imaging informatics, Current controlled current source, Radiotherapy, Cancer, Oncology, Abdomen

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Proceedings Article | 28 January 2008 Paper

Side information generation for distributed video coding based on optimal filtering

Xiao Zhang, Jun Zhang

Proceedings Volume 6822, 68222D (2008) https://doi.org/10.1117/12.766675

KEYWORDS: Filtering (signal processing), Motion models, Autoregressive models, Optimal filtering, Motion estimation, Video coding, Distributed computing, Electronic filtering, Computer programming, Video

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Proceedings Article | 7 May 2003 Paper

Vision-based UAV navigation using 3D GIS data

Jun Zhang, Weisong Liu

Proceedings Volume 5022, (2003) https://doi.org/10.1117/12.476705

KEYWORDS: Cameras, Error analysis, 3D image processing, Motion estimation, Unmanned aerial vehicles, 3D image reconstruction, Geographic information systems, Video, Global Positioning System, 3D vision

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SPIE Journal Paper | 1 March 2002

Novel technique for multiresolution color image segmentation

J. Gao, Jun Zhang, M. Fleming

OE, Vol. 41, Issue 03, (March 2002) https://doi.org/10.1117/12.10.1117/1.1432315

KEYWORDS: Image segmentation, Image processing algorithms and systems, Expectation maximization algorithms, Image processing, RGB color model, Image resolution, Color image segmentation, Medical imaging, Magnetorheological finishing, Skin

Proceedings Article | 22 October 2001 Paper

Shape space object recognition

Xiao Zhang, Jun Zhang, Gilbert Walter, A. Hamid Krim

Proceedings Volume 4379, (2001) https://doi.org/10.1117/12.445391

KEYWORDS: Object recognition, Distance measurement, 3D modeling, Databases, Electrical engineering, Data modeling, Computer science, Mathematics, Image analysis, Machine vision

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Proceedings Article | 28 August 2001 Paper

Image sequence segmentation using curve evolution and improved background subtraction

Weisong Liu, Jun Zhang

Proceedings Volume 4388, (2001) https://doi.org/10.1117/12.438250

KEYWORDS: Image segmentation, Image processing algorithms and systems, Surveillance, Digital filtering, Video compression, Video surveillance, Motion estimation, Cameras, Video, Light sources and illumination

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SPIE Journal Paper | 1 July 2001

Expectation-maximization algorithms for image processing using multiscale models and mean-field theory, with applications to laser radar range profiling and segmentation

Andy Tsai, Jun Zhang, Alan Willsky

OE, Vol. 40, Issue 07, (July 2001) https://doi.org/10.1117/12.10.1117/1.1385168

KEYWORDS: Expectation maximization algorithms, LIDAR, Error analysis, Image segmentation, Statistical modeling, Profiling, Data modeling, Detection and tracking algorithms, Optical engineering, Image processing

Proceedings Article | 27 April 2001 Paper

Real-time image sequence segmentation using curve evolution

Jun Zhang, Weisong Liu

Proceedings Volume 4303, (2001) https://doi.org/10.1117/12.424958

KEYWORDS: Image segmentation, Video, Cameras, Operating systems, Image processing algorithms and systems, Video surveillance, Gaussian filters, Digital filtering, Motion estimation, Video processing

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Proceedings Article | 29 December 2000 Paper

Nonlinear prediction for Gaussian mixture image models

Jun Zhang, Dehong Ma

Proceedings Volume 4310, (2000) https://doi.org/10.1117/12.411788

KEYWORDS: Autoregressive models, Image processing, Image filtering, Image compression, Target detection, Data modeling, Expectation maximization algorithms, Object recognition, Statistical modeling, Nonlinear filtering

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Proceedings Article | 22 December 1998 Paper

JIP: Java image processing on the Internet

Dongyan Wang, Bo Lin, Jun Zhang

Proceedings Volume 3648, (1998) https://doi.org/10.1117/12.334577

KEYWORDS: Video, Internet, Java, Image processing, Multimedia, Video compression, Video processing, Integration, Digital signal processing, Visualization

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SPIE Journal Paper | 1 January 1998

Image segmentation by multigrid Markov random field optimization and perceptual considerations

Jun Zhang, Dongyan Wang

JEI, Vol. 7, Issue 01, (January 1998) https://doi.org/10.1117/12.10.1117/1.482626

KEYWORDS: Image segmentation, Magnetorheological finishing, Image filtering, Image compression, Image processing, Probability theory, Nickel, Eye models, Image processing algorithms and systems, Human vision and color perception

Proceedings Article | 4 April 1997 Paper

Wavelet-based multiresolution stochastic image models

Jun Zhang, Dongyan Wang, Que Tran

Proceedings Volume 3026, (1997) https://doi.org/10.1117/12.271133

KEYWORDS: Autoregressive models, Wavelets, Visual process modeling, Stochastic processes, Image compression, Visualization, Magnetorheological finishing, Distance measurement, Image segmentation, Image processing

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Proceedings Article | 1 April 1997 Paper

Image segmentation by multigrid MRF and perceptual optimization

Jun Zhang, Dongyan Wang, Jianhua Liu

Proceedings Volume 3030, (1997) https://doi.org/10.1117/12.269774

KEYWORDS: Image segmentation, Magnetorheological finishing, Image filtering, Probability theory, Human vision and color perception, Image compression, Eye models, Digital filtering, Electrical engineering, Computer science

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Proceedings Article | 27 February 1996 Paper

Multiresolution total least squares reconstruction algorithm based on wavelet in medical optical tomography

Wenwu Zhu, Yao Wang, Jun Zhang

Proceedings Volume 2727, (1996) https://doi.org/10.1117/12.233196

KEYWORDS: Wavelets, Reconstruction algorithms, Wavelet transforms, Algorithm development, Optical tomography, Sensors, Absorption, Signal to noise ratio, Tissue optics, Chemical elements

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Proceedings Article | 16 September 1994 Paper

Application of the Gibbs-Bogoliubov-Feynman inequality in mean field calculations for Markov random fields

Jun Zhang

Proceedings Volume 2308, (1994) https://doi.org/10.1117/12.186042

KEYWORDS: Magnetorheological finishing, Image restoration, Image segmentation, Visual process modeling, Image analysis, Expectation maximization algorithms, Signal to noise ratio, Mechanics, Motion models, Machine vision

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Proceedings Article | 1 November 1993 Paper

Detection of anomalies in an image by wavelet analysis

Mahmoud Allam, Jun Zhang

Proceedings Volume 2034, (1993) https://doi.org/10.1117/12.162080

KEYWORDS: Wavelets, Image analysis, Neural networks, Image resolution, Defect detection, Optical inspection, Signal processing, Radon, Statistical analysis, Correlation function

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Proceedings Article | 22 October 1993 Paper

Perceptual grouping by local group-tree research

Jun Zhang, Yong Yan

Proceedings Volume 2094, (1993) https://doi.org/10.1117/12.157999

KEYWORDS: Image segmentation, Image processing, Chemical elements, Object recognition, Image filtering, Visual process modeling, Edge detection, Neural networks, Machine vision, Computer vision technology

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Proceedings Article | 27 August 1993 Paper

Wavelets based on band-limited processes with a K-L type property

Gilbert Walter, Jun Zhang

Proceedings Volume 1961, (1993) https://doi.org/10.1117/12.150966

KEYWORDS: Wavelets, Visual information processing, Signal processing, Fourier transforms, Image compression, Multiscale representation, Electrical engineering, Computer science, Correlation function, Data compression

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Proceedings Article | 1 February 1992 Paper

Structural graph-matching approach to image understanding

Gary Ford, Jun Zhang

Proceedings Volume 1607, (1992) https://doi.org/10.1117/12.57092

KEYWORDS: Prototyping, Image segmentation, Genetic algorithms, Machine vision, Feature extraction, Computer vision technology, Magnetorheological finishing, Image understanding, Robots, Robot vision

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Showing 5 of 33 publications

Conference Committee Involvement (2)

Visual Communications and Image Processing 2009

20 January 2009 | San Jose, California, United States

Visual Communications and Image Processing 2008

29 January 2008 | San Jose, California, United States

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