OPEN-CONTENT SIGNAL PROCESSING LABORATORIES IN CONNEXIONS (2009)
Richard Baraniuk, Matthew Berry, Mark Butala O, Hyeokho Choi, Mark Ham, Douglas L. Jones, ...
Due to inherent factors such as a small and fragmented market and rapid hardware obsolescence, the conventional textbook is inadequate for DSP laboratory education. Freely available open-content...
Community Driven Digital Signal Processing Laboratories (2009)
In Connexions, Richard Baraniuk, Hyeokho Choi, Douglas L. Jones, Lee Potter
The conventional textbook is largely inadequate for digital signal processing (DSP) laboratory education due to inherent factors such as a small and fragmented market and rapid hardware obsolescence....
Coherent Multiscale Image Processing using Dual-Tree (2008)
Quaternion Wavelets, Wai Lam Chan, Hyeokho Choi, Richard G. Baraniuk
The dual-tree quaternion wavelet transform (QWT) is a new multiscale analysis tool for geometric image features. The QWT is a near shift-invariant tight frame representation whose coefficients sport...
Baraniuk R.: Geometric Tools for Image Compression (2008)
Michael Wakin, Justin Romberg, Hyeokho Choi, Richard Baraniuk
Images typically contain strong geometric features, such as edges, that impose a structure on pixel values and wavelet coefficients. Modeling the joint coherent behavior of wavelet coefficients is...
Geometry Compression of Normal Meshes Using Rate-Distortion Algorithms (2008)
L. Kobbelt, P. Schröder, Sridhar Lavu, Hyeokho Choi, Richard Baraniuk
We propose a new rate-distortion based algorithm for compressing 3D surface geometry represented using triangular normal meshes. We apply the Estimation-Quantization (EQ) algorithm to compress normal...
Coherent Multiscale Image Processing using Quaternion (2008)
Wai Lam Chan, Hyeokho Choi, Richard G. Baraniuk
The quaternion wavelet transform (QWT) is a new multiscale analysis tool for geometric image features. The QWT is a near shift-invariant tight frame representation whose coefficients sport a...
DISTRIBUTED MULTISCALE DATA ANALYSIS AND PROCESSING FOR SENSOR NETWORKS (2008)
Raymond Wagner, Shriram Sarvotham, Hyeokho Choi, Richard Baraniuk
While multiresolution data analysis, processing, and compression hold considerable promise for sensor network applications, progress has been confounded by two factors. First, typical sensor data are...
Analysis of Multiscale Texture Segmentation using Wavelet-Domain Hidden Markov Models (2008)
Hyeokho Choi, Brent Hendricks, Richard Baraniuk
Wavelet-domain Hidden Markov Tree (HMT) models are powerful tools for modeling the statistical properties of wavelet transforms. By characterizing the joint statistics of the wavelet coefficients,...
Multiscale texture segmentation of dip-cube slices using wavelet-domain hidden Markov trees (2008)
Ivan Magrin-chagnolleau, Hyeokho Choi, Rutger Van Spaendonck, Richard G. Baraniuk
Wavelet-domain hidden Markov models (HMMs) are powerful tools for modeling the statistical properties of wavelet transforms. By characterizing the joint statistics of wavelet coe cients, HMMs e...
Wavelet Statistical Models and Besov Spaces (2007)
Hyeokho Choi, Richard Baraniuk
We discover a new relationship between two seemingly different image modeling methodologies; the Besov space theory and the wavelet-domain statistical image models. Besov spaces characterize the set...
Multiscale texture segmentation of dip-cube slices using wavelet-domain hidden Markov trees (2007)
Hyeokho Choi, Rutger Van Spaendonck, Richard G. Baraniuk
this paper, we introduce a new multiscale texture segmentation algorithm based on wavelet-domain hidden Markov trees (HMTs). We apply this new technique to the segmentation of dip-cube time slices.
Isar Imaging Of Approaching Targets (2007)
Hyeokho Choi, Andrew W. Krone, David C. Munson
This paper develops a theory for high-resolution, microwave radar imaging of approaching targets, using concepts from synthetic aperture radar. The target to be imaged is assumed to be approaching a...
Multiscale texture segmentation of dip-cube slices using wavelet-domain hidden Markov trees (2007)
Hyeokho Choi, Rutger Van Spaendonck, Richard G. Baraniuk
this paper, we introduce a new multiscale texture segmentation algorithm based on wavelet-domain hidden Markov trees (HMTs). We apply this new technique to the segmentation of dip-cube time slices.
Multiscale texture segmentation of dip-cube slices using wavelet-domain hidden Markov trees (2007)
Ivan Magrin-chagnolleau, Hyeokho Choi, Rutger Van Spaendonck, Richard G. Baraniuk
Wavelet-domain hidden Markov models (HMMs) are powerful tools for modeling the statistical properties of wavelet transforms. By characterizing the joint statistics of wavelet coe cients, HMMs e...
Baraniuk R.: Geometric Tools for Image Compression (2007)
Michael Wakin, Justin Romberg, Hyeokho Choi, Richard Baraniuk
Images typically contain strong geometric features, such as edges, that impose a structure on pixel values and wavelet coefficients. Modeling the joint coherent behavior of wavelet coefficients is...
Image Compression using an Ecient Edge Cartoon + Texture Model (2007)
Michael Wakin, Justin Romberg, Hyeokho Choi, Richard Baraniuk
dsp.rice.edu Wavelet-based image coders optimally represent smooth regions and isolated point singularities. However, wavelet coders are less adept at representing perceptually important edge...
Estimation-Quantization Geometry Coding Using Normal Meshes (2007)
Sridhar Lavu, Hyeokho Choi, Richard Baraniuk
dsp.rice.edu We propose a new algorithm for compressing three-dimensional triangular mesh data used for representing surfaces. We apply the Estimation-Quantization (EQ) algorithm originally designed...
OPEN-CONTENT SIGNAL PROCESSING LABORATORIES IN CONNEXIONS (2007)
Richard Baraniuk, Matthew Berry, Mark Butala, Hyeokho Choi, Mark Haun, Michael Kramer, ...
Due to inherent factors such as a small and fragmented market and rapid hardware obsolescence, the conventional textbook is inadequate for DSP laboratory education. Freely available open-content...
Unoma Ndili, Robert Nowak, Richard Baraniuk, Hyeokho Choi
In this paper, a coding theoretic approach is presented for the unsupervised segmentation of SAR images. The approach implements Rissanen's concept of Minimum Description Length (MDL) for...
Analysis of Multiscale Texture Segmentation using Wavelet-Domain Hidden Markov Models (2007)
Hyeokho Choi, Brent Hendricks, Richard Baraniuk
Wavelet-domain Hidden Markov Tree (HMT) models are powerful tools for modeling the statistical properties of wavelet transforms. By characterizing the joint statistics of the wavelet coefficients,...
Wavelet-domain approximation and compression of piecewise smooth images (2006)
Wakin, Michael B., Romberg, Justin K., Choi, Hyeokho, Baraniuk, Richard G.
The wavelet transform provides a sparse representation for smooth images, enabling efficient approximation and compression using techniques such as zerotrees. Unfortunately, this sparsity does not...
Wavelet-domain approximation and compression of piecewise smooth images (2006)
Michael B. Wakin, Student Member, Justin K. Romberg, Hyeokho Choi, Senior Member, Richard G. Baraniuk
Abstract—The wavelet transform provides a sparse representation for smooth images, enabling efficient approximation and compression using techniques such as zerotrees. Unfortunately, this sparsity...
Wavelet-domain approximation and compression of piecewise smooth images (2006)
Michael B. Wakin, Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
Abstract — The wavelet transform provides a sparse representation for smooth images, enabling efficient approximation and compression using techniques such as zerotrees. Unfortunately, this...
The intent of this module is to describe the laboratory equipment and hardware setup at Rice University DSP Laboratory.
FIR Filter Design using MATLAB (2005)
This module explains the MATLAB commands for FIR filter design.
Assembly Implementation of FIR Filters on TI TMS320C62x (2005)
This module is the exercise to implement FIR filtering in TI TMS320C62x assembly.
Testing Filters in Rice DSP Lab (2005)
This module explains how to test the implemented discrete-time filters in Rice DSP laboratory.
Linear Assembly Implementation of FIR Filters on TMS320C62x (2005)
This module is an exercise to implement FIR filters using TI linear assembly on TMS320C62x.
TMS320C6211 Architecture Overview (2005)
This module describes the basic architecture of Texas Instruments TMS320c6211 CPU.
Fixed Point Arithmetic and Q format (2005)
This module explains the fixed point, finite-precision fractional number representation.
C Language Implementation of FIR Filters on TMS320C62x (2005)
C language implementation of FIR filters on TMS320C62x.
Implementation of Q-15 arithmetic on TI TMS320C62x (2005)
This explains how to implenet Q-15 multiplication on TMS320C62x CPU.
TI Code Composer Studio V2.x Primer (2005)
This module is a primer for the hardware and software to write, debug, and run DSP programs on the TI C6211 DSP Starter Kit (DSK) board.
In this module you will learn basic C programming using TI's optimizing C compiler.
This will acquaint you with the peripheral setup on the C6211 DSK board for A/D and D/A conversion.
Introduction to the basic C62x architecture and instruction set.
This module is an overview of the design and implementation of FIR filtering.
Distributed Wavelet Transform for Irregular Sensor Network Grids (2005)
Raymond Wagner, Hyeokho Choi, Richard Baraniuk
Wavelet-based distributed data processing holds much promise for sensor networks; however, irregular sensor node placement precludes the direct application of standard wavelet techniques. In this...
Terahertz wide aperture reflection tomography (2005)
Jeremy Pearce, Hyeokho Choi, Daniel M. Mittleman, Jeff White, David Zimdars
We describe a powerful imaging modality for terahertz (THz) radiation, THz wide aperture reflection tomography (WART). Edge maps of an object’s cross section are reconstructed from a series of...
Forward: Fourier-wavelet regularized deconvolution for ill-conditioned systems (2004)
Ramesh Neelamani, Hyeokho Choi, Richard Baraniuk
We propose an efficient, hybrid Fourier-Wavelet Regularized Deconvolution (ForWaRD) al-gorithm that performs noise regularization via scalar shrinkage in both the Fourier and wavelet domains. The...
Distributed Image Compression in Camera Networks (2004)
Raymond S. Wagner, Robert Nowak, Hyeokho Choi, Raymond S. Wagner
Forward: Fourier-wavelet regularized deconvolution for ill-conditioned systems (2004)
Ramesh Neelamani, Hyeokho Choi, Richard Baraniuk
Abstract—We propose an efficient, hybrid Fourier-wavelet regularized deconvolution (ForWaRD) algorithm that performs noise regularization via scalar shrinkage in both the Fourier and wavelet...
A Geometric Hidden Markov Tree Wavelet Model (2003)
Justin Romberg, Michael Wakin, Hyeokho Choi, Richard Baraniuk
In the last few years, it has become apparent that traditional wavelet-based image processing algorithms and models have significant shortcomings in their treatment of edge contours. The standard...
Geometric methods for wavelet-based image compression (2003)
Michael Wakin, Justin Romberg, Hyeokho Choi, Richard Baraniuk
Natural images can be viewed as combinations of smooth regions, textures, and geometry. Wavelet-based image coders, such as the space-frequency quantization (SFQ) algorithm, provide reasonably...
Rate-distortion optimized image compression using wedgelets (2002)
Michael Wakin, Justin Romberg, Hyeokho Choi, Richard Baraniuk
Most wavelet-based image coders fail to model the joint coherent behavior of wavelet coefficients near edges. Wedgelets offer a convenient parameterization for the edges in an image, but they have...
Rate-distortion optimized image compression using wedgelets (2002)
Michael Wakin, Justin Romberg, Hyeokho Choi, Richard Baraniuk
Most wavelet-based image coders fail to model the joint coherent behavior of wavelet coefficients near edges. Wedgelets offer a convenient parameterization for the edges in an image, but they have...
Multiscale image processing using normal triangulated meshes (2001)
Maarten Jansen, Hyeokho Choi, Sridhar Lavu, Richard Baraniuk
Multiresolution triangulation meshes are widely used in computer graphics for 3-d modeling of shapes. We propose an image representation and processing framework using a multiscale triangulation of...
Bayesian tree-structured image modeling using wavelet-domain hidden Markov models (2001)
Justin K. Romberg, Student Member, Hyeokho Choi, Richard G. Baraniuk, Senior Member
Abstract—Wavelet-domain hidden Markov models have proven to be useful tools for statistical signal and image processing. The hidden Markov tree (HMT) model captures the key features of the joint...
Bayesian tree-structured image modeling using wavelet-domain hidden Markov models (2001)
Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
Wavelet-domain hidden Markov models have proven to be useful tools for statistical signal and image processing. The hidden Markov tree (HMT) model captures the key features of the joint probability...
Bayesian tree-structured image modeling using wavelet-domain hidden Markov models (2001)
Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
Wavelet-domain hidden Markov models have proven to be useful tools for statistical signal and image processing. The hidden Markov tree (HMT) model captures the key features of the joint density of...
Multiscale image segmentation using wavelet-domain hidden Markov models (2001)
Hyeokho Choi, Richard G. Baraniuk, Senior Member
Abstract—We introduce a new image texture segmentation algorithm, HMTseg, based on wavelets and the hidden Markov tree (HMT) model. The HMT is a tree-structured probabilistic graph that captures...
Vidya Venkatachalam, Hyeokho Choi, Richard G. Baraniuk
We study the segmentation of SAR imagery using wavelet-domain Hidden Markov Tree (HMT) models. The HMT model is a tree-structured probabilistic graph that captures the statistical properties of the...
Hidden Markov Tree modeling of Complex Wavelet Transforms (2000)
Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk, Nick Kingsbury
Multiresolution models such as the hidden Markov tree (HMT) aim to capture the statistical structure of signals and images by leveraging two key wavelet transform properties: wavelet coe#cients...
Multiscale document segmentation using wavelet-domain hidden Markov models (2000)
Hyeokho Choi, Richard Baraniuk
We introduce a new document image segmentation algorithm, HMTseg, based on wavelets and the hidden Markov tree (HMT) model. The HMT is a tree-structured probabilistic graph that captures the...
Multiscale image segmentation using joint texture and shape analysis (2000)
Ramesh Neelamani, Justin Romberg, Hyeokho Choi, Rudolf Riedi, Richard Baraniuk
We develop a general framework to simultaneously exploit texture and shape characterization in multiscale image segmentation. By posing multiscale segmentation as a model selection problem, we invoke...
Edge localized image sharpening via reassignment with application to computer tomography (2000)
Timothy Dorney, Srikrishna Bhashyam, Andrew Doran, Hyeokho Choi, Patrick Fl, Richard Baraniuk
Traditional filtering methods operate on the entire signal or image. In some applications, however, errors are concentrated in specific regions or features. A prime example is images generated using...
Edge Localized Image Sharpening via Reassignment with Application to Computed Tomography (2000)
Timothy Dorney Srikrishna, Timothy Dorney, Srikrishna Bhashyam, Andrew Doran, Hyeokho Choi, Patrick Flandrin, ...
Traditional filtering methods operate on the entire signal or image. In some applications, however, errors are concentrated in specific regions or features. A prime example is images generated using...
Information-theoretic Interpretation of Besov Spaces (2000)
Hyeokho Choi, Richard Baraniuk
Besov spaces classify signals and images through the Besov norm, which is based on a deterministic smoothness measurement. Recently, we revealed the relationship between the Besov norm and the...
Multiscale SAR Image Segmentation using Wavelet-domain Hidden Markov Tree Models (2000)
Vidya Venkatachalam, Hyeokho Choi, Richard G. Baraniuk
We study the segmentation of SAR imagery using wavelet-domain Hidden Markov Tree (HMT) models. The HMT model is a tree-structured probabilistic graph that captures the statistical properties of the...
Multiscale Image Segmentation Using Joint Texture and Shape Analysis (2000)
Ramesh Neelamani, Justin Romberg, Hyeokho Choi, Rudolf Riedi, Richard Baraniuk
We develop a general framework to simultaneously exploit texture and shape characterization in multiscale image segmentation. By posing multiscale segmentation as a model selection problem, we invoke...
Hidden Markov Tree modeling of Complex Wavelet Transforms (2000)
Hyeokho Choi, Justin Romberg, Richard Baraniuk
Multiresolution signal and image models such as the hidden Markov tree aim to capture the statistical structure of smooth and singular (edgy) regions. Unfortunately, models based on the orthogonal...
Edge localized image sharpening via reassignment with application to computer tomography (2000)
Timothy Dorney, Srikrishna Bhashyam, Andrew Doran, Hyeokho Choi, Patrick Fl, Richard Baraniuk
Traditional filtering methods operate on the entire signal or image. In some applications, however, errors are concentrated in specific regions or features. A prime example is images generated using...
Wavelet-domain regularized deconvolution for ill-conditioned systems (1999)
Ramesh Neelamani, Hyeokho Choi, Richard Baraniuk
ABSTRACT by 0. In the discrete Fourier transform (DFT) domain, We propose a hybrid approach to wavelet-based im-age deconvolution that comprises Fourier-domain system inversion followed by...
Image segmentation using wavelet-domain classification (1999)
Hyeokho Choi, Richard Baraniuk
We introduce a new image texture segmentation algorithm, HMTseg, based on wavelet-domain hidden Markov tree (HMT) models. The HMT model is a tree-structured probabilistic graph that captures the...
Bayesian wavelet domain image modeling using hidden Markov trees (1999)
Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
Wavelet-domain hidden Markov models have proven to be useful tools for statistical signal and image processing. The hidden Markov tree (HMT) model captures the key features of the joint statistics of...
Shift-invariant denoising using wavelet-domain hidden Markov trees (1999)
Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
Wavelet-domain hidden Markov models have proven to be useful tools for statistical signal and image processing. The hidden Markov tree (HMT) model captures the key features of the joint statistics of...
Wavelet-Domain Regularized Deconvolution For Ill-Conditioned Systems (1999)
Ramesh Neelamani, Hyeokho Choi, Richard Baraniuk
We propose a hybrid approach to wavelet-based image deconvolution that comprises Fourier-domain system inversion followed by wavelet-domain noise suppression. In contrast to conventional...
Multiple Basis Wavelet Denoising Using Besov Projections (1999)
Hyeokho Choi, Richard Baraniuk
Wavelet-based image denoising algorithm depends upon the energy compaction property of wavelet transforms. However, for many real-world images, we cannot expect good energy compaction in a single...
Wavelet-Based Deconvolution for Ill-Conditioned Systems (1999)
Ramesh Neelamani, Hyeokho Choi, Richard Baraniuk, Corresponding Ramesh Neelamani
| We propose a hybrid approach to wavelet-based deconvolution that comprises Fourier-domain system inversion followed by wavelet-domain noise suppression. In contrast to other wavelet-based...
Wavelet-Based Deconvolution Using Optimally Regularized Inversion for Ill-Conditioned Systems (1999)
Ramesh Neelamani, Hyeokho Choi, Richard Baraniuk
We propose a hybrid approach to wavelet-based deconvolution that comprises Fourier-domain system inversion followed by wavelet-domain noise suppression. In contrast to conventional wavelet-based...
Wavelet-Based Deconvolution For Ill-Conditioned Systems (1999)
Ramesh Neelamani, Hyeokho Choi, Richard Baraniuk
In this paper, we propose a new approach to wavelet-based deconvolution. Roughly speaking, the algorithm comprises Fourierdomain system inversion followed by wavelet-domain noise suppression. Our...
Multiscale Image Segmentation using Wavelet-Domain Hidden Markov Models (1999)
Hyeokho Choi, Richard G. Baranuik
We introduce a new image texture segmentation algorithm, HMTseg, based on wavelets and the hidden Markov tree (HMT) model. The HMT is a tree-structured probabilistic graph that captures the...
Interpolation And Denoising Of Nonuniformly Sampled Data Using Wavelet-Domain Processing (1999)
Hyeokho Choi, Richard Baraniuk
In this paper, we link concepts from nonuniform sampling, smoothness function spaces, interpolation, and denoising to derive a suite of multiscale, maximum-smoothness interpolation algorithms. We...
Interpolation and denoising of nonuniformly sampled data using wavelet domain processing (1999)
Hyeokho Choi, Richard Baraniuk
In this paper, we link concepts from nonuniform sampling, smoothness function spaces, interpolation, and denoising to derive a suite of multiscale, maximum-smoothness interpolation algorithms. We...
Wavelet-based deconvolution for ill-conditioned systems (1999)
Ramesh Neelamani, Hyeokho Choi, Richard Baraniuk
In this paper, we propose a new approach to wavelet-based deconvolution. Roughly speaking, the algorithm comprises Fourierdomain system inversion followed by wavelet-domain noise suppression. Our...
Shift-invariant denoising using wavelet-domain hidden Markov trees (1999)
Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
Wavelet-domain hidden Markov models have proven to be useful tools for statistical signal and image processing. The hidden Markov tree (HMT) model captures the key features of the joint statistics of...
Signal Processing Issues In Synthetic Aperture Radar And Computer Tomography (1998)
Hyeokho Choi, Hyeokho Choi, David C. Munson
This paper also proposed another reconstruction method based on a direct approximation of the Fourier inversion formula using a twodimensional (2-D) trapezoidal rule. In addition, the possibility of...
Direct-Fourier Reconstruction In Tomography And Synthetic Aperture Radar (1998)
We investigate the use of direct-Fourier (DF) image reconstruction in computerized tomography and synthetic aperture radar (SAR). One of our aims is to determine why the convolutionbackprojection...
Multiscale Texture Segmentation using Wavelet-Domain Hidden Markov Models (1998)
Hyeokho Choi, Richard Baraniuk
Wavelet-domain Hidden Markov Tree (HMT) models are powerful tools for modeling the statistical properties of wavelet transforms. By characterizing the joint statistics of the wavelet coefficients,...
Analysis And Design Of Minimax-Optimal Interpolators (1998)
We consider a class of interpolation algorithms, including the least-squares optimal Yen interpolator, and we derive a closed-form expression for the interpolation error for interpolators of this...
Analysis Of Wavelet-Domain Wiener Filters (1998)
Hyeokho Choi, Richard Baraniuk
We investigate Wiener filtering of wavelet coefficients for signal denoising. Empirically designed wavelet-domain Wiener filters have superior performance over other denoising algorithms using...
Analysis of wavelet domain Wiener filters (1998)
Hyeokho Choi, Richard Baraniuk
We investigate Wiener filtering of wavelet coefficients for signal denoising. Empirically designed wavelet-domain Wiener filters have superior performance over other denoising algorithms using...