Dr. James H. Kasner Profile

Dr. James H. Kasner

Senior Imaging Scientist at WISC Enterprises LLC

SPIE Involvement:

Author

Proceedings Article | 17 May 2011 Paper

Delivery methods for LVSD systems

James Kasner, Bernard Brower

Proceedings Volume 8053, 80530D (2011) https://doi.org/10.1117/12.887158

KEYWORDS: Sensors, Video, Web services, Standards development, Cameras, Image compression, Data processing, Video surveillance, Wavelets, Image sensors

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Proceedings Article | 10 May 2005 Paper

QUICKFIRE: a JPEG 2000/JPIP-enabled ISR screener application

S. Danny Rajan, Christopher Kavanagh, James Kasner, Paul Maenner

Proceedings Volume 5787, (2005) https://doi.org/10.1117/12.604860

KEYWORDS: Image compression, JPEG2000, Image quality, Intelligence systems, Image resolution, Computer programming, Data communications, Telecommunications, Imaging systems, Wavelets

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Proceedings Article | 30 August 2004 Paper

JPEG 2000-enabled client-server architecture for delivery and processing of MSI/HSI data

James Kasner, Sreekanth Rajan

Proceedings Volume 5409, (2004) https://doi.org/10.1117/12.554333

KEYWORDS: Wavelets, Image compression, Standards development, Wavelet transforms, Computer programming, Image segmentation, Data modeling, Image processing, Personal digital assistants, Image quality

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Proceedings Article | 30 August 2004 Paper

Agile architecture to enable real-time tactical access to persistent imagery surveillance collection

Sreekanth Rajan, James Kasner, Elena Loya

Proceedings Volume 5409, (2004) https://doi.org/10.1117/12.554332

KEYWORDS: Video, JPEG2000, Image resolution, Visualization, Video compression, Image compression, Image quality, Sensors, Surveillance, Image transmission

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Proceedings Article | 17 January 2002 Paper

New hyperspectral compression options in JPEG-2000 and their effects on exploitation

Sylvia Shen, James Kasner, Timothy Wilkinson

Proceedings Volume 4480, (2002) https://doi.org/10.1117/12.453335

KEYWORDS: Wavelets, Quantization, Target detection, Detection and tracking algorithms, Data compression, Computer programming, Image compression, Reconstruction algorithms, Standards development, Image quality standards

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Proceedings Article | 7 December 2001 Paper

Multicomponent compression in JPEG 2000 Part II

Timothy Wilkinson, James Kasner, Bernard Brower, Sylvia Shen

Proceedings Volume 4472, (2001) https://doi.org/10.1117/12.449755

KEYWORDS: Computer programming, Wavelet transforms, Wavelets, Standards development, Image segmentation, Image compression, JPEG2000, Image quality standards, Spectroscopy, Image processing

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Proceedings Article | 28 December 2000 Paper

Multiple component compression within JPEG 2000 as compared to other techniques

Bernard Brower, Austin Lan, James Kasner, Sylvia Shen

Proceedings Volume 4115, (2000) https://doi.org/10.1117/12.411574

KEYWORDS: Image compression, Standards development, Image quality standards, Hyperspectral imaging, Wavelets, Wavelet transforms, Detection and tracking algorithms, Multispectral imaging, Data storage, Imaging systems

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Proceedings Article | 15 November 2000 Paper

JPEG-2000 compression using 3D wavelets and KLT with application to HYDICE data

James Kasner, Ali Bilgin, Michael Marcellin, Austin Lan, Bernard Brower, Sylvia Shen, Timothy Wilkinson

Proceedings Volume 4132, (2000) https://doi.org/10.1117/12.406584

KEYWORDS: Wavelets, Quantization, Image compression, Standards development, Computer programming, Sensors, Algorithm development, Calibration, Matrices, Signal to noise ratio

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Proceedings Article | 15 November 2000 Paper

Effects of 3D wavelets and KLT-based JPEG-2000 hyperspectral compression on exploitation

Sylvia Shen, James Kasner

Proceedings Volume 4132, (2000) https://doi.org/10.1117/12.406585

KEYWORDS: Wavelets, Detection and tracking algorithms, Image compression, Reconstruction algorithms, Computer programming, Wavelet transforms, Aerospace engineering, 3D image processing, Hyperspectral imaging, Data storage

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This paper describes a second study effort investigating the impact of hyperspectral compression on the utility of compressed and subsequently reconstructed data. The overall objective is to assess and quantify the extent to which degradation introduced by compression affects the exploitation results of the compressed-reconstructed hyperspectral data. The goal of these studies is to provide a sound empirical basis for identifying the best performing compression algorithms and establishing compression ratios acceptable for various exploitation functions. Two nonliteral exploitation functions (i.e., anomaly detection and material identification) were performed on the original and compressed-reconstructed image data produced by two new hyperspectral compression algorithms (i.e., 3D Wavelets and Karhunen-Loeve Transform [KLT] Trellis-Coded Quantizer [TCQ] based JPEG-2000) at five compression ratios (i.e., 3:1, 6:1, 12:1, 24:1, and 48:1) on two scenes (a desert background and a forest background scene). The results showed that, in general, no appreciable degradation in anomaly detection performance occurred between the compressed-reconstructed and original hyperspectral data sets for both scenes using the KLT- TCQ based JPEG-2000 algorithm over the compression ratios studied. Degradation was observed for the 3D Wavelets based JPEG-2000 algorithm at 48:1 compression ratio. As for material identification, no appreciable degradation occurred between the compressed- reconstructed and original hyperspectral data sets for the desert scene using the KLT-TCQ algorithm over all the compression ratios studied. Some degradation was observed for the forest scene at higher compression ratios. Degradation was observed for the 3D Wavelets algorithm at compression ratios of 6:1 and higher for the desert scene and at compression ratios of 24:1 and higher for the forest scene. These results were compared with those obtained in the previous study using the Unmixing/Wavelets and KLT/Wavelets compression algorithms. The results of this study, as well as our previous study, continue to point to implementing compression algorithms and compression ratios empirically determined suitable for specific exploitation functions as a viable means to significantly alleviate transmission overload.

Proceedings Article | 1 October 1998 Paper

Wavelet TCQ: submission to JPEG-2000

Philip Sementilli, Ali Bilgin, James Kasner, Michael Marcellin

Proceedings Volume 3460, (1998) https://doi.org/10.1117/12.323190

KEYWORDS: Image compression, Wavelets, Computer programming, Standards development, Quantization, Discrete wavelet transforms, Image quality, Image processing, Filtering (signal processing), Visualization

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Showing 5 of 10 publications

Conference Committee Involvement (1)

Geospatial InfoFusion Systems and Solutions for Defense and Security Applications

28 April 2011 | Orlando, Florida, United States

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