Chandra Sekhar Seelamantula

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We address the issue of noise robustness of reconstruction techniques for frequency-domain optical-coherence tomography (FDOCT). We consider three reconstruction techniques: Fourier, iterative phase recovery, and cepstral techniques. We characterize the re ...

We revisit the problem of blocking artifacts and their suppression in generic frame-based speech/audio applications. We provide a perceptual characterization of the artifacts by using dynamic auditory models. We propose some short-time-Fourier-transform-ba ...

We construct parametric active contours (snakes) for outlining cells in histology images. These snakes are defined in terms of cubic B-spline basis functions. We use a steerable ridge detector for obtaining a reliable map of the cell boundaries. Using the ...

We propose a Riesz transform approach to the demodulation of digital holograms. The Riesz transform is a higher-dimensional extension of the Hilbert transform and is steerable to a desired orientation. Accurate demodulation of the hologram requires a relia ...

The problem of sampling signals that are not admisible within the classical Shannon framework has received much attention in the recent past. Typically, these signals have a parametric representation with a finite number of degrees of freedom per time unit ...

We address the problem of generalized sampling and reconstruction of finite-rate-of-innovation signals. Specifically, we consider the problem of sampling streams of Dirac impulses and propose a two-channel method that enables fast, local reconstruction und ...

We propose a semi-automatic technique to segment corpus callosum (CC) using a two-stage snake formulation: A restricted affine transform (RAT) constrained snake followed by an unconstrained snake in an iterative fashion. A statistical model is developed to ...

We make a case for ‘synthetic clear speech’ in the context of the persons with hearing impairment. We study the acoustic attributes of ‘clear speech’ that enable us to understand their importance in speech perception. Our perception experiments are motivat ...

This paper deals with the problem of time-resolved fluorescence diffuse optical tomography. We propose a new reconstruction scheme based on a multi-resolution approximation of the time-resolved signals. The underlying basis functions are exponential B-spli ...

We address the problem of exact complex-wave reconstruction in digital holography. We show that, by confining the object-wave modulation to one quadrant of the frequency domain, and by maintaining a reference-wave intensity higher than that of the object, ...

Purpose: In the context of fluorescence diffuse optical tomography, determining the optimal way to exploit the time-resolved information has been receiving much attention and different features of the time-resolved signals have been introduced. In this art ...

We address the problem of tomogram reconstruction in frequency-domain optical-coherence tomography. We propose a new technique for suppressing the autocorrelation artifacts that are commonly encountered with the conventional Fourier-transform-based approac ...

We address the problem of zero-order-free image reconstruction in digital holographic microscopy. We show how the goal can be achieved by confining the object-wave modulation to one quadrant of the frequency domain, and by maintaining a reference-wave inte ...

We present a new class of continuously defined parametric snakes using a special kind of exponential splines as basis functions. We have enforced our bases to have the shortest possible support subject to some design constraints to maximize efficiency. Whi ...

Chandra Sekhar Seelamantula

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Performance Analysis of Reconstruction Techniques for Frequency-Domain Optical-Coherence Tomography

Blocking artifacts in speech/audio: Dynamic auditory model-based characterization and optimal time-frequency smoothing

Parametric B-Spline Snakes on Distance Maps—Application to Segmentation of Histology Images

Local demodulation of holograms using the Riesz transform with application to microscopy

A Generalized Sampling Method for Finite-Rate-of-Innovation-Signal Reconstruction

A Method for Generalized Sampling and Reconstruction of Finite-Rate-of-Innovation Signals

A Shape-Template Based Two-Stage Corpus Callosum Segmentation Technique for Sagittal Plane T1-Weighted Brain Magnetic Resonance Images

Perception Studies on the Attributes of Synthetic Clear Speech for the Hard of Hearing

Time Resolved Fluorescence Diffuse Optical Tomography Using Multi-Resolution Exponential B-Splines

Exact Complex-Wave Reconstruction in Digital Holography

A Time-Domain Wavelet-Based Approach for Fluorescence Diffuse Optical Tomography

Exact and Efficient Signal Reconstruction in Frequency-Domain Optical-Coherence Tomography

Zero-Order-Free Image Reconstruction in Digital Holographic Microscopy

Snakes With an Ellipse-Reproducing Property

A Nonlinear Technique for Automatic Twin-Image and Zero-Order Term Suppression in Digital Holographic Microscopy