Prof. Wenjun Zeng Profile

Prof. Wenjun Zeng

Associate Professor at Univ of Missouri-Columbia

SPIE Involvement:

Author

Publications (13)

Proceedings Article | 3 May 2012 Paper

Image and video based remote target localization and tracking on smartphones

Qia Wang, Alex Lobzhanidze, Hyun Jang, Wenjun Zeng, Yi Shang, Jingyu Yang

Proceedings Volume 8396, 83960O (2012) https://doi.org/10.1117/12.921374

KEYWORDS: Cameras, Video, Global Positioning System, Error analysis, Sensors, 3D acquisition, Digital imaging, Detection and tracking algorithms, Image processing, Digital cameras

Read Abstract +

Proceedings Article | 9 June 2011 Paper

Lidar depth image compression using clustering, re-indexing, and JPEG2000

Dmitriy Karpman, David Ashbrook, Xiaoling Li, Ye Duan, Wenjun Zeng

Proceedings Volume 8037, 80370G (2011) https://doi.org/10.1117/12.883656

KEYWORDS: Image compression, LIDAR, JPEG2000, Clouds, Reconstruction algorithms, Image processing, Associative arrays, Analytical research, Technetium, Algorithms

Read Abstract +

Proceedings Article | 28 January 2008 Paper

Wyner-Ziv video coding with multi-resolution motion refinement: theoretical analysis and practical significance

Wei Liu, Lina Dong, Wenjun Zeng

Proceedings Volume 6822, 68221W (2008) https://doi.org/10.1117/12.769320

KEYWORDS: Motion estimation, Video coding, Microchannel plates, Linear filtering, Quantization, Wavelets, Motion analysis, Motion models, Computer programming, Video

Read Abstract +

Proceedings Article | 27 February 2007 Paper

Fast and automatic watermark resynchronization based on Zernike moments

Xiangui Kang, Chunhui Liu, Wenjun Zeng, Jiwu Huang, Congbai Liu

Proceedings Volume 6505, 65050E (2007) https://doi.org/10.1117/12.703839

KEYWORDS: Digital watermarking, Distortion, Video, Optical correlators, Image compression, Pattern recognition, Fourier transforms, Image quality, Image processing, Video compression

Read Abstract +

In some applications such as real-time video applications, watermark detection needs to be performed in real time. To address image watermark robustness against geometric transformations such as the combination of rotation, scaling, translation and/or cropping (RST), many prior works choose exhaustive search method or template matching method to find the RST distortion parameters, then reverse the distortion to resynchronize the watermark. These methods typically impose huge computation burden because the search space is typically a multiple dimensional space. Some other prior works choose to embed watermarks in an RST invariant domain to meet the real time requirement. But it might be difficult to construct such an RST invariant domain. Zernike moments are useful tools in pattern recognition and image watermarking due to their orthogonality and rotation invariance property. In this paper, we propose a fast watermark resynchronization method based on Zernike moments, which requires only search over scaling factor to combat RST geometric distortion, thus significantly reducing the computation load. We apply the proposed method to circularly symmetric watermarking. According to Plancherel's Theorem and the rotation invariance property of Zernike moments, the rotation estimation only requires performing DFT on Zernike moments correlation value once. Thus for RST attack, we can estimate both rotation angle and scaling factor by searching for the scaling factor to find the overall maximum DFT magnitude mentioned above. With the estimated rotation angle and scaling factor parameters, the watermark can be resynchronized. In watermark detection, the normalized correlation between the watermark and the DFT magnitude of the test image is used. Our experimental results demonstrate the advantage of our proposed method. The watermarking scheme is robust to global RST distortion as well as JPEG compression. In particular, the watermark is robust to print-rescanning and randomization-bending local distortion in Stirmark 3.1.

Proceedings Article | 19 January 2006 Paper

A novel source rate control algorithm for video streaming over the Internet

Peng Zhu, Wenjun Zeng, Chunwen Li

Proceedings Volume 6077, 60771A (2006) https://doi.org/10.1117/12.641542

KEYWORDS: Computer programming, Video, Internet, Receivers, Computer simulations, Multimedia, Control systems, Adaptive control, Scalable video coding, Amplifiers

Read Abstract +

Proceedings Article | 24 June 2005 Paper

Digital watermarking based on multi-band wavelet and principal component analysis

Xiangui Kang, Wenjun Zeng, Jiwu Huang, Xinhua Zhuang, Yun-Qing Shi

Proceedings Volume 5960, 59603A (2005) https://doi.org/10.1117/12.631584

KEYWORDS: Digital watermarking, Wavelets, Principal component analysis, Discrete wavelet transforms, Transparency, Multimedia, Image compression, Image filtering, Binary data, Image quality

Read Abstract +

Proceedings Article | 21 March 2005 Paper

Security architectures and analysis for content adaptation

Wenjun Zeng, Junqiang Lan, Xinhua Zhuang

Proceedings Volume 5681, (2005) https://doi.org/10.1117/12.584148

KEYWORDS: Network security, Multimedia, Computer security, Information security, Network architectures, Video, Telecommunications, Security technologies, Data communications, Video compression

Read Abstract +

Proceedings Article | 7 December 2001 Paper

Boundary artefact reduction using odd tile length and the low pass first convention (OTLPF)

Jianxin Wei, Mark Pickering, Michael Frater, John Arnold, John Boman, Wenjun Zeng

Proceedings Volume 4472, (2001) https://doi.org/10.1117/12.449762

KEYWORDS: JPEG2000, Image compression, Image quality, Electrical engineering, Defense and security, Wavelet transforms, Digital image processing, Error analysis

Read Abstract +

Proceedings Article | 19 April 2000 Paper

Visual masking in wavelet compression for JPEG-2000

Scott Daly, Wenjun Zeng, Jin Li, Shawmin Lei

Proceedings Volume 3974, (2000) https://doi.org/10.1117/12.383010

KEYWORDS: Visualization, Quantization, Visual system, Image quality, Wavelets, Computer programming, Transducers, Image compression, Visual compression, JPEG2000

Read Abstract +

Proceedings Article | 9 April 1999 Paper

Extraction of multiresolution watermark images for resolving rightful ownership

Wenjun Zeng, Bede Liu, Shawmin Lei

Proceedings Volume 3657, (1999) https://doi.org/10.1117/12.344691

KEYWORDS: Digital watermarking, Sensors, Image resolution, Binary data, Feature extraction, Image processing, Visualization, Computer programming, Image segmentation, Signal processing

Read Abstract +

Proceedings Article | 3 June 1997 Paper

Digital image watermarking using visual models

Christine Podilchuk, Wenjun Zeng

Proceedings Volume 3016, (1997) https://doi.org/10.1117/12.274503

KEYWORDS: Digital watermarking, Visualization, Image quality, Image compression, Visual process modeling, Digital imaging, Transparency, Wavelets, Image visualization, Signal processing

Read Abstract +

The huge success of the Internet permits the transmission and wide distribution and access of electronic data in an effortless manner. Content providers are faced with the challenge of how to protect their electronic data. This problem has generated a flurry of recent research activity in the area of digital watermarking of electronic content for copyright protection. Unlike the traditional visible watermark found on paper, the challenge here is to introduce a digital watermark that does not alter the perceived quality of the electronic content while being extremely robust to attack. For instance, in the case of image data, editing the picture or illegal tampering should not destroy or alter the watermark. Equally important, the watermark should not alter the perceived visual quality of the image. From a signal processing viewpoint, the two basic requirements for an effective watermarking scheme, robustness and transparency, conflict with each other. We propose a watermarking technique for digital images that is based on utilizing visual models which have been developed in the context of image compression. Specifically, we propose a watermarking scheme where visual models are used to determine image dependent modulation masks for watermark insertion. In other words, for each image we can determine the maximum amount of watermark signal that each portion of the image can tolerate without affecting the visual quality of the image. This allow us to provide the maximum strength watermark which in turn, is extremely robust to common image processing and editing such as JPEG compression, rescaling, and cropping. We have watermarking results in a DCT framework as well as a wavelet framework. The DCT framework allows the direct insertion of watermarks to JPEG -- compressed data whereas the wavelet based scheme provides a framework where we can take advantage of both a local and global approach. Our scheme is shown to provide dramatic improvement over the current state-of-the-art both in terms of transparency and robustness.

Proceedings Article | 17 January 1997 Paper

Novel approach to unequal error protection for image/video delivery with source detector

Wenjun Zeng, Yap-Peng Tan, Bede Liu, Lih-Huah Yiin

Proceedings Volume 2915, (1997) https://doi.org/10.1117/12.263394

KEYWORDS: Forward error correction, Sensors, Image quality, Image compression, Image transmission, Visualization, Computer programming, Error analysis, Receivers, Signal to noise ratio

Read Abstract +

Proceedings Article | 8 December 1995 Paper

Geometric-structure-based directional filtering for error concealment in image/video transmission

Wenjun Zeng, Bede Liu

Proceedings Volume 2601, (1995) https://doi.org/10.1117/12.228136

KEYWORDS: Error analysis, Image filtering, Video, Binary data, Wireless communications, Image compression, Data communications, Visualization, Statistical analysis, Statistical modeling

Read Abstract +

Showing 5 of 13 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years