Cesar Carranza

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Digital video processing requires significant hardware resources to achieve acceptable performance. Digital video processing based on dynamic partial reconfiguration (DPR) allows the designers to control resources based on energy, performance, and accuracy considerations. In this paper, we present a dynamically reconfigurable implementation of a 2D FIR(More)
A Computer Aided Diagnosis system based on multiscale amplitude-modulation frequency-modulation (AM-FM) methods has been recently developed for discriminating between normal and pathological retinal images. The original Matlab implementation of this system required large amounts of computational time and memory resources that would not permit real-time(More)
Diabetes afflicts an estimated 171 million people worldwide. Diabetic patients are at risk of a wide range of complications including peripheral neuropathy (or diabetic foot). The condition if left untreated will lead to ulcers and eventually lower extremity amputation. Current existing diagnostic techniques for peripheral neuropathy are mostly qualitative(More)
The paper introduces the Fast Discrete Periodic Radon Transform (FDPRT) which represents a new algorithm and associated architecture for computing Discrete Periodic Radon Transforms. For square images of size p &#x00D7; p, p prime, the Discrete Periodic Radon Transform (DPRT) requires p<sup>2</sup>(p-1) additions for calculating image projections along a(More)
The goal of this paper is to present a computer-based system for analyzing thermal images in the detection of preclinical stages of peripheral neuropathy (PN) or diabetic foot. Today, vibration perception threshold (VPT) and sensory tests with a monofilament are used as simple, noninvasive methods for identifying patients who have lost sensation in their(More)
We present a dynamic framework for 2D complex filter implementation that is based on a multi-objective optimization scheme that generates Pareto-optimal realizations from the Energy-Performance-Accuracy (EPA) space. The EPA space is created by evaluating the 2D complex filter realizations in terms of their required energy, accuracy, and performance. Dynamic(More)
The discrete periodic radon transform (DPRT) has extensively been used in applications that involve image reconstructions from projections. Beyond classic applications, the DPRT can also be used to compute fast convolutions that avoids the use of floating-point arithmetic associated with the use of the fast Fourier transform. Unfortunately, the use of the(More)
The Discrete Periodic Radon Transform (DPRT) has many important applications in image processing that are associated with reconstructing objects from projections (e.g., computed tomography [1]) or image restoration (e.g., [2]). Thus, there is strong interest in the development of fast algorithms and architectures for computing the DPRT. This paper(More)
The manuscript describes fast and scalable architectures and associated algorithms for computing convolutions and cross-correlations. The basic idea is to map 2D convolutions and cross-correlations to a collection of 1D convolutions and cross-correlations in the transform domain. This is accomplished through the use of the discrete periodic radon transform(More)
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