Mr. Alok Ahuja Profile

Alok Ahuja

Assistant Researcher at Univ of Wisconsin Madison

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Author

Publications (18)

Proceedings Article | 22 December 2006 Paper

Lossless compression studies for real-time rebroadcast of data from NOAA's future advanced GOES sounders

Bormin Huang, Alok Ahuja, Yagneswaran Sriraja, Hung-Lung Huang

Proceedings Volume 6405, 640526 (2006) https://doi.org/10.1117/12.694001

KEYWORDS: Quantization, Data compression, Principal component analysis, JPEG2000, Computer programming, Interferometers, Image compression, Spectroscopy, Michelson interferometers, Spatial resolution

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Proceedings Article | 29 September 2006 Paper

MST-embedded JPEG-LS: application to lossless compression of ultraspectral sounder data

Bormin Huang, Alok Ahuja

Proceedings Volume 6365, 63650P (2006) https://doi.org/10.1117/12.690295

KEYWORDS: Image quality standards, Image compression, Data compression, Algorithm development, Computer programming, Infrared radiation, Environmental monitoring, Meteorology, Atmospheric monitoring, Atmospheric physics

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Proceedings Article | 1 September 2006 Paper

Adaptive VQ-based linear prediction for lossless compression of ultraspectral sounder data

Bormin Huang, Alok Ahuja, Mitchell Goldberg

Proceedings Volume 6300, 630002 (2006) https://doi.org/10.1117/12.683967

KEYWORDS: Quantization, Data compression, JPEG2000, Satellites, Data transmission, Infrared radiation, Environmental monitoring, Meteorology, Data storage, Atmospheric monitoring

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Proceedings Article | 1 September 2006 Paper

An optimal unequal error protection scheme with turbo product codes for wavelet compression of ultraspectral sounder data

Bormin Huang, Y. Sriraja, Alok Ahuja, Mitchell Goldberg

Proceedings Volume 6300, 630009 (2006) https://doi.org/10.1117/12.683059

KEYWORDS: Wavelets, JPEG2000, Contamination, Data compression, Forward error correction, Error analysis, Image resolution, Wave propagation, Satellites, Atmospheric propagation

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Proceedings Article | 1 September 2006 Paper

Lossless compression of 3D ultraspectral sounder data using the prediction-based lower triangular transform

Shih-Chieh Wei, Bormin Huang, Alok Ahuja

Proceedings Volume 6300, 630003 (2006) https://doi.org/10.1117/12.682440

KEYWORDS: JPEG2000, Data compression, Computer programming, Image quality standards, Infrared radiation, Image compression, Quantization, Data storage, Principal component analysis, Data communications

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Proceedings Article | 1 September 2006 Paper

Burst error performance of 3DWT-RVLC with low-density parity-check codes for ultraspectral sounder data compression

Bormin Huang, Alok Ahuja, Charles Wang, Mitchell Goldberg

Proceedings Volume 6300, 63000B (2006) https://doi.org/10.1117/12.683073

KEYWORDS: JPEG2000, Data compression, Wavelet transforms, Error analysis, Forward error correction, Wavelets, Computer simulations, Image resolution, Satellites, Infrared radiation

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Proceedings Article | 8 May 2006 Paper

Comparison of minimum spanning tree reordering with bias-adjusted reordering for lossless compression of 3D ultraspectral sounder data

Alok Ahuja, Bormin Huang, Mitchell Goldberg

Proceedings Volume 6233, 62332D (2006) https://doi.org/10.1117/12.666799

KEYWORDS: Gases, Data compression, Infrared radiation, Clouds, Image compression, Image quality standards, Computer programming, Satellites, Atmospheric physics, Climatology

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Proceedings Article | 13 September 2005 Paper

On empirical mode decomposition for ultraspectral sounder data compression

Bormin Huang, Alok Ahuja, Hung-Lung Huang

Proceedings Volume 5889, 58890L (2005) https://doi.org/10.1117/12.621414

KEYWORDS: Principal component analysis, Data compression, Image compression, Image quality standards, Infrared radiation, Data archive systems, Hyperspectral imaging, Imaging systems, Satellites, Signal processing

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Proceedings Article | 18 August 2005 Paper

Current status of ultraspectral sounder data compression

Bormin Huang, Alok Ahuja, Hung-Lung Huang, Timothy Schmit, Roger Heymann

Proceedings Volume 5889, 588906 (2005) https://doi.org/10.1117/12.618909

KEYWORDS: Quantization, JPEG2000, Principal component analysis, Data compression, Image compression, Gases, Wavelet transforms, Computer programming, Chemical species, Satellites

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Proceedings Article | 18 August 2005 Paper

Assessment of error propagation in ultraspectral sounder data via JPEG2000 compression and turbo coding

Donald Olsen, Charles Wang, Dean Sklar, Bormin Huang, Alok Ahuja

Proceedings Volume 5889, 58890E (2005) https://doi.org/10.1117/12.620471

KEYWORDS: JPEG2000, Satellites, Discrete wavelet transforms, Error analysis, Image resolution, Data compression, Aerospace engineering, Atmospheric propagation, Forward error correction, Computer programming

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Research has been undertaken to examine the robustness of JPEG2000 when corrupted by transmission bit errors in a satellite data stream. Contemporary and future ultraspectral sounders such as Atmospheric Infrared Sounder (AIRS), Cross-track Infrared Sounder (CrIS), Infrared Atmospheric Sounding Interferometer (IASI), Geosynchronous Imaging Fourier Transform Spectrometer (GIFTS), and Hyperspectral Environmental Suite (HES) generate a large volume of three-dimensional data. Hence, compression of ultraspectral sounder data will facilitate data transmission and archiving. There is a need for lossless or near-lossless compression of ultraspectral sounder data to avoid potential retrieval degradation of geophysical parameters due to lossy compression. This paper investigates the simulated error propagation in AIRS ultraspectral sounder data with advanced source and channel coding in a satellite data stream. The source coding is done via JPEG2000, the latest International Organization for Standardization (ISO)/International Telecommunication Union (ITU) standard for image compression. After JPEG2000 compression the AIRS ultraspectral sounder data is then error correction encoded using a rate 0.954 turbo product code (TPC) for channel error control. Experimental results of error patterns on both channel and source decoding are presented. The error propagation effects are curbed via the block-based protection mechanism in the JPEG2000 codec as well as memory characteristics of the forward error correction (FEC) scheme to contain decoding errors within received blocks. A single nonheader bit error in a source code block tends to contaminate the bits until the end of the source code block before the inverse discrete wavelet transform (IDWT), and those erroneous bits propagate even further after the IDWT. Furthermore, a single header bit error may result in the corruption of almost the entire decompressed granule. JPEG2000 appears vulnerable to bit errors in a noisy channel of satellite transmission, and thus has difficulty to preserve the quality of ultraspectral sounder data. A channel decoded bit error rate (BER) of 10-11 or better may be necessary for a granule error rate of 0.00116 in a compressed ultraspectral sounder data stream that is transmitted in a satellite channel. This work at The Aerospace Corporation and the University of Wisconsin, CIMSS, was under separate contracting from and performed for the National Oceanic and Atmospheric Administration (NOAA) National Environmental Satellite, Data, and Information Service (NESDIS), a component of the U.S. Department of Commerce.

Proceedings Article | 18 August 2005 Paper

Ultraspectral sounder data compression using error-detecting reversible variable-length coding

Bormin Huang, Alok Ahuja, Hung-Lung Huang, Timothy Schmit, Roger Heymann

Proceedings Volume 5889, 58890J (2005) https://doi.org/10.1117/12.618944

KEYWORDS: JPEG2000, Data compression, Wavelet transforms, Wavelets, Satellites, Atmospheric propagation, Image resolution, Data transmission, Spatial resolution, Video coding

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Proceedings Article | 1 June 2005 Paper

Recent progress in ultraspectral sounder data compression

Bormin Huang, Alok Ahuja, Hung-Lung Huang, Timothy Schmit, Roger Heymann

Proceedings Volume 5806, (2005) https://doi.org/10.1117/12.605357

KEYWORDS: JPEG2000, Data compression, Quantization, Image compression, Infrared radiation, Wavelet transforms, Spectroscopy, Data archive systems, Gases, Computer programming

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Proceedings Article | 20 January 2005 Paper

Effects of the starting channel for spectral reordering on the lossless compression of 3D ultraspectral sounder data

Bormin Huang, Alok Ahuja, Hung-Lung Huang, Timothy Schmit, Roger Heymann

Proceedings Volume 5655, (2005) https://doi.org/10.1117/12.579062

KEYWORDS: JPEG2000, Computer programming, Data compression, Data conversion, Infrared radiation, Image compression, Image quality standards, Wavelet transforms, Binary data, Satellites

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Proceedings Article | 14 October 2004 Paper

Lossless data compression for infrared hyperspectral sounders: an update

Bormin Huang, Hung-Lung Huang, Alok Ahuja, Timothy Schmit, Roger Heymann

Proceedings Volume 5548, (2004) https://doi.org/10.1117/12.560404

KEYWORDS: JPEG2000, Wavelet transforms, Data compression, Infrared radiation, Computer programming, Wavelets, Image compression, Quantization, Satellites, Data archive systems

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Proceedings Article | 14 October 2004 Paper

Predictive partitioned vector quantization for hyperspectral sounder data compression

Bormin Huang, Alok Ahuja, Hung-Lung Huang, Timothy Schmit, Roger Heymann

Proceedings Volume 5548, (2004) https://doi.org/10.1117/12.560402

KEYWORDS: Quantization, Data compression, JPEG2000, Infrared radiation, Infrared imaging, Spectroscopy, Satellites, Data storage, Atmospheric monitoring, Infrared spectroscopy

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SPIE Journal Paper | 1 September 2004

Lossless compression of three-dimensional hyperspectral sounder data using context-based adaptive lossless image codec with bias-adjusted reordering

Bormin Huang, Alok Ahuja, Hung-Lung Huang, Timothy Schmit, Roger Heymann

OE, Vol. 43, Issue 09, (September 2004) https://doi.org/10.1117/12.10.1117/1.1778732

KEYWORDS: Image compression, Data compression, Data conversion, Infrared imaging, Clouds, Hyperspectral imaging, Imaging systems, Spectroscopy, Optical engineering, Satellites

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Proceedings Article | 5 February 2004 Paper

Data compression studies for NOAA Hyperspectral Environmental Suite (HES) using 3D integer wavelet transforms with 3D set partitioning in hierarchical trees

Bormin Huang, Hung-Lung Huang, Hao Chen, Alok Ahuja, Kevin Baggett, Timothy Schmit, Roger Heymann

Proceedings Volume 5238, (2004) https://doi.org/10.1117/12.511437

KEYWORDS: Wavelet transforms, Wavelets, Data compression, Lithium, JPEG2000, Computer programming, Spatial resolution, Linear filtering, Spectral resolution, Infrared radiation

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Proceedings Article | 25 September 2003 Paper

Lossless data compression studies for NOAA hyperspectral environmental suite using 3D integer wavelet transforms with 3D embedded zerotree coding

Bormin Huang, Hung-Lung Huang, Hao Chen, Alok Ahuja, Kevin Baggett, Timothy Schmit, Roger Heymann

Proceedings Volume 5286, (2003) https://doi.org/10.1117/12.539926

KEYWORDS: Wavelet transforms, Wavelets, Data compression, Spatial resolution, JPEG2000, Linear filtering, Spectral resolution, Infrared radiation, Image compression, Computer programming

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Showing 5 of 18 publications

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