Dr. William A. Pearlman Profile

Dr. William A. Pearlman

President at PrimaComp, Inc.

SPIE Involvement:

Author

Publications (53)

Proceedings Article | 15 February 2012 Paper

Distributed video coding with progressive significance map

Yang Hu, William Pearlman

Proceedings Volume 8305, 830507 (2012) https://doi.org/10.1117/12.906739

KEYWORDS: Computer programming, Multispectral imaging, Video coding, Video, Image compression, Wavelet transforms, Discrete wavelet transforms, Surface plasmons, Error control coding, Data compression

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Proceedings Article | 28 January 2008 Paper

Real-time joint source-channel coding of multiple correlated substream progressive sources for multiple-antenna Rayleigh channels

Masoud Farshchian, William Pearlman

Proceedings Volume 6822, 68220U (2008) https://doi.org/10.1117/12.767495

KEYWORDS: Antennas, Distortion, Monte Carlo methods, Receivers, Wavelets, Signal to noise ratio, Remote sensing, Image quality, Computer simulations, Visualization

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Recently, several methods that divide the original bitstream of an image/video progressive wavelet based source coders into multiple correlated substreams have been proposed. The principle behind transmitting independent multiple substream is to generate multiple descriptions of the source such that the graceful degradation is achieved when transmitted over severe fading channels and lossy packet networks since some of the streams may be recovered. Noting that multiple substream can benefit from multiple independent channel paths, we naturally consider Multi-Input Multi-Output communication systems where we obtain multiple independent fading channels. Depending on several factors including: the number of antennas employed, the transmission energy, the Doppler shift (due to the motion between the transmitter antenna and receiver antennas), the total transmission rate and the distortion-rate (D-R) of the source-there exists an optimal number of balanced substreams and an optimal joint source-channel coding policy such that the expected distortion at the receiver is minimized. In this paper we derive an expected distortion function at the receiver based on all of these parameters and provide a fast real-time numerical technique to find the optimal or near optimal number of balanced substreams to be transmitted. This expected distortion is based on our derivation of the probabilistic loss patterns of a balanced multiple substream progressive source coder. The accuracy of the derived expected distortion estimator is confirmed by Monte-Carlo simulation employing Dent's modification of Jakes' model. By accurately estimating the optimal number of balanced substreams to be transmitted, a substantial gain in visual quality at low and intermediate signal-to-noise ratio (SNR) is obtained over severely fading channels. At high SNR, the single stream source coder's source efficiency makes it slightly better than the multiple substream source coder. Overall, using our analytic development, we provide a systematic real-time non-adhoc method that achieves high quality image and video at low and moderate signal-to-noise ratios in severe fading channels for single and multiple antenna systems.

Proceedings Article | 24 August 2006 Paper

Scalable three-dimensional SBHP algorithm with region of interest access and low complexity

Ying Liu, William Pearlman

Proceedings Volume 6312, 631209 (2006) https://doi.org/10.1117/12.684410

KEYWORDS: Image compression, 3D image processing, Skull, JPEG2000, Computed tomography, Liver, Wavelets, Computer programming, Wavelet transforms, Image resolution

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Proceedings Article | 19 January 2006 Paper

On scalable lossless video coding based on sub-pixel accurate MCTF

Sehoon Yea, William Pearlman

Proceedings Volume 6077, 60771D (2006) https://doi.org/10.1117/12.647622

KEYWORDS: Computer programming, Video, Video coding, Scalable video coding, Transform theory, Video compression, Wavelets, Image compression, Video surveillance, Motion estimation

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Proceedings Article | 19 January 2006 Paper

Region of interest access with three-dimensional SBHP algorithm

Ying Liu, William Pearlman

Proceedings Volume 6077, 607715 (2006) https://doi.org/10.1117/12.647501

KEYWORDS: Wavelets, 3D image processing, Image compression, Image filtering, Computed tomography, Wavelet transforms, Image quality, Medical imaging, 3D acquisition, Magnetic resonance imaging

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Proceedings Article | 19 January 2006 Paper

A wavelet-based two-stage near-lossless coder with L∞- error scalability

Sehoon Yea, William Pearlman

Proceedings Volume 6077, 607714 (2006) https://doi.org/10.1117/12.644000

KEYWORDS: Computer programming, Reconstruction algorithms, Image compression, Laser induced plasma spectroscopy, Image processing, Wavelets, Wavelet transforms, Data compression, Quantization, Modeling

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Proceedings Article | 25 May 2005 Paper

Progressive resolution coding of hyperspectral imagery featuring region of interest access

Xiaoli Tang, William Pearlman

Proceedings Volume 5817, (2005) https://doi.org/10.1117/12.604634

KEYWORDS: Image compression, Hyperspectral imaging, Signal to noise ratio, Wavelets, Image resolution, Lithium, Wavelet transforms, 3D image processing, Scalable video coding, Reconstruction algorithms

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Proceedings Article | 14 March 2005 Paper

Integrated lossy, near-lossless, and lossless compression of medical volumetric data

Sehoon Yea, Sungdae Cho, William Pearlman

Proceedings Volume 5685, (2005) https://doi.org/10.1117/12.585931

KEYWORDS: Wavelets, Image compression, Computer programming, 3D image processing, Medical imaging, Liver, Skull, Wavelet transforms, Data compression, 3D video compression

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Proceedings Article | 17 January 2005 Paper

Fast and constant time random access decoding with log(2)n block seek time

Yushin Cho, Sungdae Cho, William Pearlman

Proceedings Volume 5682, (2005) https://doi.org/10.1117/12.585332

KEYWORDS: Computer programming, Binary data, Image compression, Image storage, Image retrieval, Video, Image processing, Computing systems, Systems engineering, Electronics

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Proceedings Article | 22 June 2004 Paper

Fast additive noise steganalysis

Jeremiah Harmsen, Kevin Bowers, William Pearlman

Proceedings Volume 5306, (2004) https://doi.org/10.1117/12.526003

KEYWORDS: Steganalysis, Composites, Steganography, RGB color model, Convolution, 3D image processing, Modulation, Image processing, Data hiding, Stochastic processes

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Proceedings Article | 22 June 2004 Paper

Kernel Fisher discriminant for steganalysis of JPEG hiding methods

Jeremiah Harmsen, William Pearlman

Proceedings Volume 5306, (2004) https://doi.org/10.1117/12.525996

KEYWORDS: Steganalysis, Image processing, Ferroelectric LCDs, Quantization, Image compression, Image quality, Steganography, Statistical analysis, Signal processing, Chemical elements

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Proceedings Article | 18 January 2004 Paper

Near-lossless compression of digital terrain elevation data

Ramesh Panchagnula, William Pearlman

Proceedings Volume 5308, (2004) https://doi.org/10.1117/12.523427

KEYWORDS: Image compression, Quantization, Tolerancing, Reconstruction algorithms, Distortion, Data compression, Error control coding, Algorithm development, Wavelet transforms, Error analysis

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Proceedings Article | 18 January 2004 Paper

Lossless compression for three-dimensional images

Xiaoli Tang, William Pearlman

Proceedings Volume 5308, (2004) https://doi.org/10.1117/12.526004

KEYWORDS: Image compression, 3D image processing, JPEG2000, Wavelet transforms, Medical imaging, Hyperspectral imaging, Wavelets, Computed tomography, Magnetic resonance imaging, Skull

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Proceedings Article | 18 January 2004 Paper

Robust image transmission using a new joint source channel coding algorithm and dual adaptive OFDM

Masoud Farshchian, Sungdae Cho, William Pearlman

Proceedings Volume 5308, (2004) https://doi.org/10.1117/12.524906

KEYWORDS: Orthogonal frequency division multiplexing, Distortion, Forward error correction, Receivers, Failure analysis, Image compression, Image transmission, Error analysis, Algorithm development, Image processing

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In this paper we consider the problem of robust image coding and packetization for the purpose of communications over slow fading frequency selective channels and channels with a shaped spectrum like those of digital subscribe lines (DSL). Towards this end, a novel and analytically based joint source channel coding (JSCC) algorithm to assign unequal error protection is presented. Under a block budget constraint, the image bitstream is de-multiplexed into two classes with different error responses. The algorithm assigns unequal error protection (UEP) in a way to minimize the expected mean square error (MSE) at the receiver while minimizing the probability of catastrophic failure. In order to minimize the expected mean square error at the receiver, the algorithm assigns unequal protection to the value bit class (VBC) stream. In order to minimizes the probability of catastrophic error which is a characteristic of progressive image coders, the algorithm assigns more protection to the location bit class (LBC) stream than the VBC stream. Besides having the advantage of being analytical and also numerically solvable, the algorithm is based on a new formula developed to estimate the distortion rate (D-R) curve for the VBC portion of SPIHT. The major advantage of our technique is that the worst case instantaneous minimum peak signal to noise ratio (PSNR) does not differ greatly from the averge MSE while this is not the case for the optimal single stream (UEP) system. Although both average PSNR of our method and the optimal single stream UEP are about the same, our scheme does not suffer erratic behavior because we have made the probability of catastrophic error arbitarily small. The coded image is sent via orthogonal frequency division multiplexing (OFDM) which is a known and increasing popular modulation scheme to combat ISI (Inter Symbol Interference) and impulsive noise. Using dual adaptive energy OFDM, we use the minimum energy necessary to send each bit stream at a particular probability of bit error. An added benefit of OFDM over serial transmission schemes is that some degree of progressiveness of SPIHT is preserved by transmitting both the VBC and LBC streams in parallel.

Proceedings Article | 18 January 2004 Paper

Block-based embedded color image and video coding

Nithin Nagaraj, William Pearlman, Asad Islam

Proceedings Volume 5308, (2004) https://doi.org/10.1117/12.528135

KEYWORDS: Image compression, Video, Wavelets, Digital video recorders, Image quality, JPEG2000, Image processing, Video coding, Lithium, Video compression

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Proceedings Article | 20 June 2003 Paper

Steganalysis of additive-noise modelable information hiding

Jeremiah Harmsen, William Pearlman

Proceedings Volume 5020, (2003) https://doi.org/10.1117/12.476813

KEYWORDS: Data hiding, Data modeling, Steganography, RGB color model, Convolution, Steganalysis, Image processing, Image analysis, Mahalanobis distance, Systems modeling

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Proceedings Article | 7 May 2003 Paper

Hyperspectral image compression using three-dimensional wavelet coding

Xiaoli Tang, William Pearlman, James Modestino

Proceedings Volume 5022, (2003) https://doi.org/10.1117/12.476516

KEYWORDS: Hyperspectral imaging, Image compression, 3D image processing, Wavelets, Distortion, Lithium, Image quality, Prisms, Discrete wavelet transforms, Computer programming

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Proceedings Article | 7 May 2003 Paper

Region-of-interest coding in volumetric images with shape-adaptive wavelet transform

Ikuro Ueno, William Pearlman

Proceedings Volume 5022, (2003) https://doi.org/10.1117/12.476709

KEYWORDS: Wavelet transforms, Image compression, JPEG2000, 3D image processing, Wavelets, Image quality, Image segmentation, Computer programming, Video coding, Image filtering

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Proceedings Article | 7 May 2003 Paper

Error-resilient video coding with improved 3D SPIHT and error concealment

Sungdae Cho, William Pearlman

Proceedings Volume 5022, (2003) https://doi.org/10.1117/12.476433

KEYWORDS: Error analysis, Wavelets, Video, Computer programming, Video coding, Wavelet packet decomposition, 3D image processing, 3D video compression, Video compression, Automatic repeat request

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Proceedings Article | 21 November 2002 Paper

Field tests of error-resilient 3D SPIHT vs. MPEG-2

Bruce Suter, William Pearlman, Sungdae Cho, Keesook Han

Proceedings Volume 4790, (2002) https://doi.org/10.1117/12.457261

KEYWORDS: Video, Video compression, Forward error correction, 3D image processing, 3D video compression, Error analysis, Satellite communications, Satellites, 3D video streaming, Computer programming

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Proceedings Article | 4 January 2002 Paper

Embedded video compression with error resilience and error concealment

Sungdae Cho, William Pearlman

Proceedings Volume 4671, (2002) https://doi.org/10.1117/12.453077

KEYWORDS: Error analysis, Video compression, Wavelets, 3D video compression, Video, 3D image processing, Error control coding, Computer programming, Wavelet transforms, Automatic repeat request

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Proceedings Article | 4 January 2002 Paper

Motion-compensated two-link chain coding for binary shape sequence

Zhitao Lu, William Pearlman

Proceedings Volume 4671, (2002) https://doi.org/10.1117/12.453075

KEYWORDS: Motion estimation, Motion models, Binary data, Computer programming, Video coding, Image compression, Video, Video compression, Solid modeling, Information visualization

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Proceedings Article | 7 December 2001 Paper

Unequal error protection of embedded video bitstreams

Sungdae Cho, William Pearlman

Proceedings Volume 4472, (2001) https://doi.org/10.1117/12.449793

KEYWORDS: Video, Error control coding, 3D image processing, Computer programming, Forward error correction, 3D video compression, Wavelets, Video compression, Image compression, Wavelet transforms

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Proceedings Article | 20 November 2001 Paper

Approach to the joint optimization of video communications and video signal processing

William Pearlman, Michael Medley, Bruce Suter

Proceedings Volume 4474, (2001) https://doi.org/10.1117/12.448675

KEYWORDS: Video, 3D video compression, Forward error correction, Video processing, Video compression, Video coding, Automatic repeat request, Wavelets, Computer programming, Error control coding

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Proceedings Article | 28 December 2000 Paper

Error-resilient compression and transmission of scalable video

Sungdae Cho, William Pearlman

Proceedings Volume 4115, (2000) https://doi.org/10.1117/12.411608

KEYWORDS: 3D video compression, Video, Video compression, Automatic repeat request, Error control coding, Forward error correction, Wavelets, Computer programming, Wavelet transforms, 3D video streaming

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Proceedings Article | 18 October 1999 Paper

Lapped orthogonal transform coding by amplitude and group partitioning

Xiangyu Zou, William Pearlman

Proceedings Volume 3808, (1999) https://doi.org/10.1117/12.365841

KEYWORDS: Image compression, Computer programming, Quantization, Binary data, Visualization, Image quality, Distortion, Signal to noise ratio, Visual compression, Video compression

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Transform coding has been the focus of the research for image compression. In previous research, the Amplitude and Group Partitioning (AGP) coding scheme is proved to be a low complexity algorithm with higher performance, clearly one of the state-of-art transform coding techniques. However, the previous AGP is used along with the Discrete Cosine Transform (DCT) and the discrete wavelet transform. In this paper, a different transform, the Lapped Orthogonal Transform (LOT), replaces the DCT in conjunction with the AGP. This is the first time LOT and AGP have been combined in a coding method. The definition and design of the LOT are discussed. An objective metric to measure the performance of transform, coding gain, is calculated for both the DCT and the LOT. The LOT has slightly higher coding gain than the DCT. The principles of the LOT based AGP image codec (LOT-AGP) are presented and a complete codec, encoder and decoder, is implemented in software. The performance of the LOT-AGP is compared with other block transform coding schemes: the baseline JPEG codec and the DCT based AGP image codec (DCT- AGP) by both objective evaluation and subjective evaluation. The Peak Signal to Noise Ratio (PSNR) is calculated for these three coding schemes. The two AGP codecs are much better than the JPEG codec on PSNR, from about 1.7 dB to 3 dB depending on bit rate. The two AGP schemes have PSNR differences only to a small degree. Visually, the LOT-AGP has the best-reconstructed images among these three at all bit rates. In addition, the coding results of two other state-of-art progressive image codecs are cited for further comparison. One is the Set Partitioning in Hierarchical Trees (SPIHT) algorithm with a dyadic wavelet transform, and the other is Tran and Nguyen's method with the generalized LOT transform. The AGP coding and the adaptive Huffman entropy coding of LOT-AGP are less complex and the memory usage is smaller than in these two progressive codecs. Comparing these three codecs, i.e. the LOT-AGP and the two progressive codecs in PSNR small only small differences in PSNR. SPIHT has about 1 dB higher PSNR than the LOT-AGP and Tran and Nguyen's method for the test image Lena. For the test image Barbara, the PSNR of the LOT- AGP is about 0.5 dB higher than that of the SPIHT and 0.5 dB lower than that of Tran and Nguyen's method. This low- complexity and high performance codec may provide a new direction for the implementation of image compression.

Proceedings Article | 18 October 1999 Paper

Lossless volumetric medical image compression

Young-Seop Kim, William Pearlman

Proceedings Volume 3808, (1999) https://doi.org/10.1117/12.365842

KEYWORDS: Medical imaging, Image compression, 3D image processing, Wavelets, Wavelet transforms, Image filtering, Linear filtering, Computer programming, 3D video compression, Video compression

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Proceedings Article | 22 March 1999 Paper

Implementation of wavelet transform image compression algorithms using associative-computing-based DSP chips

Aviram Sariel, Pankaj Das, William Pearlman

Proceedings Volume 3723, (1999) https://doi.org/10.1117/12.342931

KEYWORDS: Image compression, Clocks, Wavelets, Digital signal processing, Wavelet transforms, Computer programming, Discrete wavelet transforms, Binary data, Associative arrays, Telecommunications

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Proceedings Article | 28 December 1998 Paper

Progressive coding of medical volumetric data using three-dimensional integer wavelet packet transform

Zixiang Xiong, Xiaolin Wu, David Yun, William Pearlman

Proceedings Volume 3653, (1998) https://doi.org/10.1117/12.334681

KEYWORDS: Wavelets, 3D modeling, Image compression, 3D image processing, Wavelet transforms, 3D acquisition, Performance modeling, Data modeling, Data centers, Medical imaging

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Proceedings Article | 28 December 1998 Paper

Embedded and efficient low-complexity hierarchical image coder

Asad Islam, William Pearlman

Proceedings Volume 3653, (1998) https://doi.org/10.1117/12.334677

KEYWORDS: Image compression, Image processing, Algorithm development, Quantization, Image transmission, Visualization, Reconstruction algorithms, Algorithms, Lithium, Zoom lenses

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Proceedings Article | 1 October 1998 Paper

Progressive video coding for noisy channels

Beong-Jo Kim, Zixiang Xiong, William Pearlman

Proceedings Volume 3460, (1998) https://doi.org/10.1117/12.323191

KEYWORDS: Video, Automatic repeat request, Forward error correction, Video coding, Error control coding, Computer programming, Binary data, Failure analysis, 3D acquisition, 3D image processing

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Proceedings Article | 8 July 1998 Paper

Multiresolutional encoding and decoding in embedded image and video coders

Zixiang Xiong, Beong-Jo Kim, William Pearlman

Proceedings Volume 3389, (1998) https://doi.org/10.1117/12.316548

KEYWORDS: Image resolution, Computer programming, Video, Video coding, Spatial resolution, Wavelets, Wavelet transforms, Video processing, Multimedia, 3D image processing

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Proceedings Article | 9 January 1998 Paper

Low-delay embedded 3D wavelet color video coding with SPIHT

Beong-Jo Kim, William Pearlman

Proceedings Volume 3309, (1998) https://doi.org/10.1117/12.298408

KEYWORDS: Video, Video coding, Wavelets, Image compression, Video compression, 3D video compression, 3D image processing, Visualization, Laser induced plasma spectroscopy, Cameras

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SPIE Journal Paper | 1 January 1998

Rate-constrained block matching algorithm for video coding

Ulug Bayazit, William Pearlman

JEI, Vol. 7, Issue 01, (January 1998) https://doi.org/10.1117/12.10.1117/1.482604

KEYWORDS: Motion estimation, Distortion, Video coding, Quantization, Receivers, Computer simulations, Video, Detection and tracking algorithms, Visualization, Cameras

Proceedings Article | 30 October 1997 Paper

High-performance low-complexity image compression

William Pearlman

Proceedings Volume 3164, (1997) https://doi.org/10.1117/12.292755

KEYWORDS: Image compression, Data compression

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Proceedings Article | 10 January 1997 Paper

Rate-constrained block-matching algorithm

Ulug Bayazit, William Pearlman

Proceedings Volume 3024, (1997) https://doi.org/10.1117/12.263191

KEYWORDS: Motion estimation, Distortion, Video coding, Receivers, Quantization, Detection and tracking algorithms, Algorithm development, Video, Visualization, Motion models

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Proceedings Article | 10 January 1997 Paper

Low-complexity waveform coding via alphabet and sample-set partitioning

Amir Said, William Pearlman

Proceedings Volume 3024, (1997) https://doi.org/10.1117/12.263240

KEYWORDS: Image compression, Computer programming, Medical imaging, Binary data, Wavelets, Error analysis, Manganese, Image processing, Video, Chemical elements

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Proceedings Article | 27 February 1996 Paper

Three-dimensional subband coding of video using the zero-tree method

Yingwei Chen, William Pearlman

Proceedings Volume 2727, (1996) https://doi.org/10.1117/12.233203

KEYWORDS: Video coding, Image compression, Video, 3D image processing, Video compression, Distortion, Solids, Image transmission, Silicon, Computer programming

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Proceedings Article | 27 February 1996 Paper

Variable-length tree-structured subvector quantization

Ulug Bayazit, William Pearlman

Proceedings Volume 2727, (1996) https://doi.org/10.1117/12.233245

KEYWORDS: Computer programming, Distortion, Quantization, Reconstruction algorithms, Computer simulations, Binary data, Computing systems, Computer engineering, Structural design, Yield improvement

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Proceedings Article | 27 February 1996 Paper

Algorithms for intervector dependency utilization in variable-rate tree-structured vector quantization

Ligang Lu, William Pearlman

Proceedings Volume 2727, (1996) https://doi.org/10.1117/12.233241

KEYWORDS: Computer programming, Quantization, Algorithm development, Distortion, Computing systems, Video, Lutetium, Receivers, Video compression, Structural design

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Proceedings Article | 3 March 1995 Paper

Image subband coding using an information theoretic subband splitting criterion

Ulug Bayazit, William Pearlman

Proceedings Volume 2418, (1995) https://doi.org/10.1117/12.204130

KEYWORDS: Distortion, Image compression, Ions, Computer programming, Lithium, Quantization, Ferroelectric materials, Dysprosium, Matrices, Algorithm development

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Proceedings Article | 22 October 1993 Paper

Reversible image compression via multiresolution representation and predictive coding

Amir Said, William Pearlman

Proceedings Volume 2094, (1993) https://doi.org/10.1117/12.157984

KEYWORDS: Image compression, Image resolution, Image restoration, Medical imaging, Algorithms, Image filtering, Computed tomography, Image processing, Image quality, Computer programming

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Proceedings Article | 22 October 1993 Paper

Hierarchical image sequence coding with tree-structured vector quantization

Ulug Bayazit, William Pearlman

Proceedings Volume 2094, (1993) https://doi.org/10.1117/12.157925

KEYWORDS: Motion estimation, Image compression, Distortion, Quantization, Video, Computer programming, Ferroelectric materials, Video coding, Image segmentation, Electronic filtering

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Proceedings Article | 22 October 1993 Paper

Image sequence coding using the zero-tree method

Gourav Bhutani, William Pearlman

Proceedings Volume 2094, (1993) https://doi.org/10.1117/12.157964

KEYWORDS: Image compression, Motion estimation, Computer programming, Quantization, Visualization, Computing systems, Systems engineering, Wavelets, Image transmission, Transmitters

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SPIE Journal Paper | 1 July 1993

Hexagonal subband image coding with perceptual weighting

Muppanat Balakrishnan, William Pearlman

OE, Vol. 32, Issue 07, (July 1993) https://doi.org/10.1117/12.10.1117/12.141686

KEYWORDS: Image compression, Distortion, Information technology, Visual system, Image filtering, Electronic filtering, Optical filters, Contrast sensitivity, Image quality, Quantization

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Proceedings Article | 1 November 1992 Paper

Multirate image sequence coding with quadtree segmentation and backward motion compensation

Ligang Lu, William Pearlman

Proceedings Volume 1818, (1992) https://doi.org/10.1117/12.131476

KEYWORDS: Image segmentation, Image compression, Motion estimation, Image processing, Receivers, Visual communications, Computer programming, Quantization, Video coding, Video

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Proceedings Article | 19 May 1992 Paper

Image pyramid coding with multirate entropy-constrained pairwise nearest neighbor codebook design

Diego de Garrido, William Pearlman, Weiler Finamore

Proceedings Volume 1657, (1992) https://doi.org/10.1117/12.58314

KEYWORDS: Image compression, Distortion, Image processing, Quantization, Computer programming, Thulium, Tantalum, Detection and tracking algorithms, Image storage, Reconstruction algorithms

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Proceedings Article | 1 November 1991 Paper

Vector quantization of image pyramids with the ECPNN algorithm

Diego de Garrido, William Pearlman, Weiler Finamore

Proceedings Volume 1605, (1991) https://doi.org/10.1117/12.50307

KEYWORDS: Quantization, Image compression, Distortion, Visual communications, Image processing, Visualization, Ferroelectric materials, Detection and tracking algorithms, Computer programming, Cameras

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SPIE Journal Paper | 1 July 1991

Alphabet- and entropy-constrained vector quantization of image pyramids

R. Padmanabha Rao, William Pearlman

OE, Vol. 30, Issue 07, (July 1991) https://doi.org/10.1117/12.10.1117/12.55891

KEYWORDS: Image compression, Distortion, Quantization, Signal to noise ratio, Computer programming, Algorithm development, Image quality, Visualization, Computer simulations, Image filtering

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Proceedings Article | 1 November 1990 Paper

Multiple-rate code book design for vector quantization of image pyramids

Balakrishnan Mahesh, William Pearlman

Proceedings Volume 1349, (1990) https://doi.org/10.1117/12.23570

KEYWORDS: Image compression, Signal to noise ratio, Digital image processing, Distortion, Quantization, Ferroelectric materials, Algorithm development, Data compression, Magnetic resonance imaging, Solids

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Proceedings Article | 1 September 1990 Paper

Clustering algorithm for entropy-constrained vector-quantizer design

Weiler Finamore, Diego de Garrido, William Pearlman

Proceedings Volume 1360, (1990) https://doi.org/10.1117/12.24272

KEYWORDS: Distortion, Visual communications, Image processing, Binary data, Analog electronics, Quantization, Aluminum, Computer programming, Promethium, Algorithm development

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Proceedings Article | 1 September 1990 Paper

Gain-adaptive trained transform trellis code for images

Dong-Youn Kim, William Pearlman

Proceedings Volume 1360, (1990) https://doi.org/10.1117/12.24275

KEYWORDS: Distortion, Visual communications, Image processing, Radon, Computer programming, Visualization, Binary data, Receivers, Computing systems, Systems engineering

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SPIE Journal Paper | 1 May 1990

Adaptive estimators for filtering noisy images

Balakrishnan Mahesh, Woo-Jin Song, William Pearlman

OE, Vol. 29, Issue 05, (May 1990) https://doi.org/10.1117/12.10.1117/12.55617

KEYWORDS: Error analysis, Image filtering, Digital filtering, Filtering (signal processing), Visualization, Statistical analysis, Image restoration, Image analysis, Algorithm development, Image quality

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