Prof. Vivek K. Goyal Profile

Prof. Vivek K. Goyal

at Boston Univ

SPIE Involvement:

Author | Editor | Instructor

Proceedings Article | 9 September 2019 Paper

Occlusion-based computational periscopy with consumer cameras

John Murray-Bruce, Charles Saunders, Vivek Goyal

Proceedings Volume 11138, 111380X (2019) https://doi.org/10.1117/12.2528322

KEYWORDS: Passive remote sensing, Computational imaging, Photography, Non-line-of-sight propagation, Image resolution, Imaging systems, RGB color model, Opacity, Light sources, Visibility, Digital photography

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Proceedings Article | 24 August 2017 Paper

Photon-efficient super-resolution laser radar

Dongeek Shin, Jeffrey Shapiro, Vivek Goyal

Proceedings Volume 10394, 1039409 (2017) https://doi.org/10.1117/12.2273208

KEYWORDS: Radar imaging, Super resolution, LIDAR, Photon counting, Inverse problems, Computational imaging, Detection and tracking algorithms, Reconstruction algorithms

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Proceedings Article | 26 September 2013 Paper

Spatio-temporal regularization for range imaging with high photon efficiency

Ahmed Kirmani, Andrea Colaço, Dongeek Shin, Vivek Goyal

Proceedings Volume 8858, 88581F (2013) https://doi.org/10.1117/12.2024639

KEYWORDS: Photodetectors, Sensors, Imaging systems, Denoising, Time correlated photon counting, Range imaging, Signal detection, Optical imaging, Single photon detectors, Computer simulations

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Proceedings Article | 27 September 2011 Paper

Regularizing GRAPPA using simultaneous sparsity to recover de-noised images

Daniel Weller, Jonathan Polimeni, Leo Grady, Lawrence Wald, Elfar Adalsteinsson, Vivek Goyal

Proceedings Volume 8138, 81381M (2011) https://doi.org/10.1117/12.896655

KEYWORDS: Calibration, Magnetic resonance imaging, Convolution, Computer programming, Signal to noise ratio, Discrete wavelet transforms, 3D acquisition, Data acquisition, Compressed sensing, Spatial resolution

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Proceedings Article | 27 September 2011 Paper

Diffuse imaging: replacing lenses and mirrors with omnitemporal cameras

Ahmed Kirmani, Haris Jeelani, Vahid Montazerhodjat, Vivek Goyal

Proceedings Volume 8138, 81380O (2011) https://doi.org/10.1117/12.896718

KEYWORDS: Sensors, Reflectivity, Signal to noise ratio, Lenses, Mirrors, Light sources, Optical sensors, Cameras, Signal processing, Image restoration

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Proceedings Article | 4 September 2009 Paper

A sparsity detection framework for on-off random access channels

Alyson Fletcher, Sundeep Rangan, Vivek Goyal

Proceedings Volume 7446, 744607 (2009) https://doi.org/10.1117/12.824127

KEYWORDS: Signal to noise ratio, Receivers, Detection and tracking algorithms, Modulation, Resistance, Signal detection, Compressed sensing, Interference (communication), Feedback control, Space based lasers

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Proceedings Article | 17 September 2005 Paper

Sparse approximation, denoising, and large random frames

Alyson Fletcher, Sundeep Rangan, Vivek Goyal

Proceedings Volume 5914, 59140M (2005) https://doi.org/10.1117/12.615772

KEYWORDS: Signal to noise ratio, Associative arrays, Denoising, Error analysis, Interference (communication), Palladium, Signal generators, Wavelets, Optical spheres, Performance modeling

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Proceedings Article | 13 November 2003 Paper

Iterative projective wavelet methods for denoising

Alyson Fletcher, Vivek Goyal, Kannan Ramchandran

Proceedings Volume 5207, (2003) https://doi.org/10.1117/12.507250

KEYWORDS: Wavelets, Denoising, Wavelet transforms, Interference (communication), Signal to noise ratio, Digital filtering, Signal processing, Electrical engineering, Electronic filtering, Filtering (signal processing)

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Proceedings Article | 10 January 1997 Paper

Dependent coding in quantized matching pursuit

Vivek Goyal, Martin Vetterli

Proceedings Volume 3024, (1997) https://doi.org/10.1117/12.263177

KEYWORDS: Associative arrays, Image compression, Quantization, Video coding, Video, Video compression, Distortion, Signal detection, Signal to noise ratio, Signal processing

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Showing 5 of 9 publications

SPIE Conference Volume | 2 October 2015

Wavelets and Sparsity XVI

SPIE Conference Volume | 24 October 2013

Wavelets and Sparsity XV

SPIE Conference Volume | 8 September 2011

Wavelets and Sparsity XIV

SPIE Conference Volume | 24 August 2009

Wavelets XIII

SPIE Conference Volume | 13 September 2007

Wavelets XII

Conference Committee Involvement (7)

Wavelets and Sparsity XVIII

13 August 2019 | San Diego, California, United States

Wavelets and Sparsity XVII

6 August 2017 | San Diego, California, United States

Wavelets and Sparsity XVI

10 August 2015 | San Diego, California, United States

Wavelets and Sparsity XV

26 August 2013 | San Diego, California, United States

Wavelets and Sparsity XIV

21 August 2011 | San Diego, California, United States

Showing 5 of 7 Conference Committees

Course Instructor

SC203: Wavelets and Applications: State-of-the-Art

In this course, a comprehensive presentation of discrete and continuous wavelets, filter banks and subband coding, and multiresolution signal processing, is given. Techniques recently developed in different fields have converged to a unified theory. Wavelets provide an interesting alternative to Fourier transform methods. This course explains the successive approximation or multiresolution essential to wavelets and subhand coding: a signal can be seen as a coarse version plus added details.

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