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Superresolution imaging: a survey of current techniques

Superresolution imaging: a survey of current techniques

引用

conference on advanced signal processing algorithms, architectures, and Implementantions xVIII

作者： Cristobal, G. Gil, E. Sroubek, F. Flusser, J. Miravet, C. Rodriguez, F. B. CSIC Inst Opt Serrano 121 E-28006 Madrid Spain ASCR Inst Informat Theory & Automat Prague Czech Republic Univ Autonoma Madrid Escuela Politecn Super Madrid Spain

ISBN: (纸本)9780819472946

Imaging plays a key role in many diverse areas of application, such as astronomy, remote sensing, microscopy, and tomography. Owing to imperfections of measuring devices (e.g., optical degradations, limited size of sensors) and instability of the observed scene (e.g., object motion, media turbulence), acquired images can be indistinct, noisy, and may, exhibit insufficient spatial and temporal resolution. In particular, several external effects blur images. Techniques for recovering the original image include blind deconvolution (to remove blur) and superresolution (SR). The stability of these methods depends on having more than one image of the same frame. Differences between images are necessary to provide new information, but they can be almost unperceivable. State-of-the-art SR techniques achieve remarkable results in resolution enhancement by estimating the subpixel shifts between images, but they lack any apparatus for calculating the blurs. In this paper, after introducing a review of current SR, techniques we describe two recently developed SR methods by the authors. First, we introduce a variational method that minimizes a regularized energy function with respect to the high resolution image and blurs. In this way we establish a unifying way to simultaneously estimate the blurs and the high resolution image. By estimating blurs we automatically estimate shifts with subpixel accuracy, which is inherent for good SR performance. Second, an innovative learning-based algorithm using a neural architecture for SR is described. Comparative experiments on real data illustrate the robustness and utilization of both methods.

关键词： superresolution deconvolution energy minimization probabilistic neural network sequence processing

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Partial Expansion Graphs: Exposing Parallelism and Dynamic Scheduling Opportunities for DSP Applications

Partial Expansion Graphs: Exposing Parallelism and Dynamic S...

引用

23rd IEEE International conference on Application-Specific Systems, architectures and Processors (ASAP)

作者： Zaki, George F. Plishker, William Bhattacharyya, Shuvra S. Fruth, Frank Univ Maryland Dept Elect & Comp Engn College Pk MD 20742 USA Texas Instruments Inc Multicore & Commun Infrastruct Business Unit D College Pk MD USA

ISBN: (纸本)9780769547688

Emerging Digital signal processing (DSP) algorithms and wireless communications protocols require dynamic adaptation and online reconfiguration for the implemented systems at runtime. In this paper, we introduce the concept of Partial Expansion Graphs (PEGs) as an implementation model and associated class of scheduling strategies. PEGs are designed to help realize DSP systems in terms of forms and granularities of parallelism that are well matched to the given applications and targeted platforms. PEGs also facilitate derivation of both static and dynamic scheduling techniques, depending on the amount of variability in task execution times and other operating conditions. We show how to implement efficient PEG-based scheduling methods using real time operating systems, and to re-use pre-optimized libraries of DSP components within such implementations. Empirical results show that the PEG strategy can 1) achieve significant speedups on a state of the art multicore signal processor platform for static dataflow applications with predictable execution times, and 2) exceed classical scheduling speedups for applications having execution times that can vary dynamically. This ability to handle variable execution times is especially useful as DSP applications and platforms increase in complexity and adaptive behavior, thereby reducing execution time predictability.

关键词： Dataflow Graphs Digital signal processing Multiprocessor Dynamic Scheduling

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Collection and processing of acoustic and seismic array data for source localizaton

Collection and processing of acoustic and seismic array data...

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advanced signal processing algorithms, architectures, and implementations xV

作者： Asgari, S. Stafsudd, J.Z. Chen, C.E. Ali, A. Hudson, R.E. Whang, D. Lorenzelli, F. Yao, K. Taciroglu, E. Electrical Engineering Department University of California Los Angeles CA United States Civil and Env. Engineering Department University of California Los Angeles CA United States

Distributed sensor networks have been proposed for a wide range of applications. In this paper, our goal is to locate a wideband source, generating both acoustic and seismic signals, using both seismic and acoustic sensors. For a far-field acoustic source, only the direction-of-arrival (DOA) in the coordinate system of the sensors is observable. We use the approximate Maximum-Likelihood (AML) method for DOA estimations from several acoustic arrays. For a seismic source, we use data collected at a single tri-axial accelerometer to perform DOA estimation. Two seismic DOA estimation methods, the eigen-decomposition of the sample covariance matrix method and the surface wave method are used. Field measurements of acoustic and seismic signals generated by vertically striking a heavy metal plate placed on the ground in an open field are collected. Each acoustic array uses four low-cost microphones placed in a square configuration and separated by one meter. The microphone outputs of each array are collected by a synchronized A/D recording system and processed locally based on the AML algorithm for DOA estimation. An array of six tri-axial accelerometers arranged in two rows whose outputs are fed into an ultra low power and high resolution network-aware seismic recording system. Field measured data from the acoustic and seismic arrays show the estimated DOAs and consequent localizations of the source are quite accurate and useful. Beamforming, Source localization,.

关键词： Acoustic arrays

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Algorithm for the singular value decomposition of a matrix product

Algorithm for the singular value decomposition of a matrix p...

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advanced signal-processing algorithms, architectures, and implementations

作者： Bojanczyk, Adam W. Ewerbring, L.Magnus Luk, Franklin T. Van Dooren, Paul Cornell Univ Ithaca United States

In this paper, we propose a new algorithm for computing a singular value decomposition of a matrix product. We show that our algorithm is numerically desirable in that all relevant residual elements will be numericall... 详细信息

关键词： signal processing

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A Common Backend for Hardware Acceleration on FPGA 35

A Common Backend for Hardware Acceleration on FPGA

引用

35th IEEE International conference on Computer Design (ICCD)

作者： Del Sozzo, Emanuele Baghdadi, Riyadh Amarasinghe, Saman Santambrogio, Marco D. Politecn Milan DEIB Milan Italy MIT CSAIL Cambridge MA 02139 USA

ISBN: (纸本)9781538622544

Field Programmable Gate Arrays (FPGAs) are configurable integrated circuits able to provide a good trade-off in terms of performance, power consumption, and flexibility with respect to other architectures, like CPUs, GPUs and ASICs. The main drawback in using FPGAs, however, is their steep learning curve. An emerging solution to this problem is to write algorithms in a Domain Specific Language (DSL) and to let the DSL compiler generate efficient code targeting FPGAs. This work proposes FROST, a unified backend that enables different DSL compilers to target FPGA architectures. Differently from other code generation frameworks targeting FPGA, FROST exploits a scheduling co-language that enables users to have full control over which optimizations to apply in order to generate efficient code (e.g. loop pipelining, array partitioning, vectorization). At first, FROST analyzes and manipulates the input Abstract Syntax Tree (AST) in order to apply FPGA-oriented transformations and optimizations, then generates a C/C++ implementation suitable for High-Level Synthesis (HLS) tools. Finally, the output of HLS phase is synthesized and implemented on the target FPGA using xilinx SDAccel toolchain. The experimental results show a speedup up of 15x with respect to O3-optimized implementations of the same algorithms on CPU.

关键词： Field programmable gate arrays Optimization DSL Tools Computer architecture Pipeline processing signal processing algorithms

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MEDICS: Ultra-Portable processing for Medical Image Reconstruction 10

MEDICS: Ultra-Portable Processing for Medical Image Reconstr...

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19th International conference on Parallel architectures and Compilation Techniques

作者： Dasika, Ganesh Sethia, Ankit Robby, Vincentius Mudge, Trevor Mahlke, Scott Univ Michigan Adv Comp Architecture Lab Ann Arbor MI 48109 USA

ISBN: (纸本)9781450301787

Medical imaging provides physicians with the ability to generate 3D images of the human body in order to detect and diagnose a wide variety of ailments. Making medical imaging portable and more accessible provides a unique set of challenges. In order to increase portability, the power consumed in image acquisition - currently the most power-consuming activity in an imaging device - must be dramatically reduced. This can only be done, however, by using complex image reconstruction algorithms to correct artifacts introduced by low-power acquisition, resulting in image processing becoming the dominant power-consuming task. Current solutions use combinations of digital signal processors, general-purpose processors and, more recently, general-purpose graphics processing units for medical image processing. These solutions fall short for various reasons including high power consumption and an inability to execute the next generation of image reconstruction algorithms. This paper presents the MEDICS architecture a domain-specific multicore architecture designed specifically for medical imaging applications, but with sufficient generality to make it programmable. The goal is to achieve 100 GFLOPs of performance while consuming orders of magnitude less power than the existing solutions. MEDICS has a throughput of 128 GFLOPs while consuming as little as 1.6W of power on advanced CT reconstruction applications. This represents up to a 20x increase in computation efficiency over current designs.

关键词： Low power Medical imaging Operation chaining Stacked DRAM Stream processing

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A comparison of the gabor and short-time fourier transforms for signal detection and feature extraction in noisy environments

A comparison of the gabor and short-time fourier transforms ...

引用

advanced signal processing algorithms, architectures, and implementations 1990

作者： Auslander, L. Buffalano, C. Orr, R. Tolimieri, R.

Effective signal detection and feature extraction in noisy environments generally depend on exploiting some knowledge of the signal. When the signal is exactly known, the matched filter is the optimum signal processing strategy. Other signal processing strategies succeed when the signal detail is but partially known. The short-time Fourier transform and the Gabor transform are two methods that exploit signal envelope information. The former is a well known and widely used representation which is important in many fields. The related but distinct Gabor transform has been less frequently used, but has features absent in Fourier analysis. This paper compares the two transforms and makes the case that the Gabor representation can often be the more compact, and may require substantially less computation and storage in some applications. There is a sense in which the Gabor achieves a preferential trade of signal-to-noise ratio for resolution, and because of this, one can also expect better signal recognition and feature reconstructions from the Gabor transform in the presence of noise. © 1990 SPIE. All rights reserved.

关键词： Feature extraction

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Tomographic techniques in image and signal processing

Tomographic techniques in image and signal processing

引用

advanced signal-processing algorithms, architectures, and implementations

作者： Snyder, Donald L. Washington Univ St. Louis United States

An iterative solution is given for solving deblurring problems having nonnegativity constraints through the use of methods motivated by tomographic imaging. After briefly reviewing three versions of tomographic-imaging problems, the paper indicates how methods that have proven to be powerful for the third version, weighted-integral tomography, can be applied to the more general deblurring problem when nonnegativity constraints are present.

关键词： signal processing

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Local stationarity and time-frequency distributions local stationarity and time-frequency distributions

Local stationarity and time-frequency distributions local st...

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advanced signal processing algorithms, architectures, and implementations xVI

作者： Galleani, Lorenzo Cohen, Léon Suter, Bruce City University of New York 695 Park Avenue New York NY 10021 Air Force Research Laboratory 525 Brooks Road Rome NY 13441 United States Dipartimento di Elettronica Politecnico di Torino 10129 Torino Italy

ISBN: (纸本)0819463922

We use time-frequency distributions to define local stationarity of a random process. We argue that local stationarity is achieved when the Wigner spectrum is approximately factorable. We show that when that is the case the autocorrelation function is the one considered by Silverman in 1957. Other time-frequency represenations are also considered.

关键词： signal filtering and prediction

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IMPLEMENTATION OF OMEGA-K SYNTHETIC-APERTURE RADAR IMAGING ALGORITHM ON A MASSIVELY-PARALLEL SUPERCOMPUTER

IMPLEMENTATION OF OMEGA-K SYNTHETIC-APERTURE RADAR IMAGING A...

引用

conference on algorithms for Synthetic Aperture Radar Imagery

作者： YERKES, C WEBSTER, E USN COMMAND CTR CONTROL & OCEAN SURVEILLANCEDIV RES DEV TEST & EVALUATSAN DIEGOCA

ISBN: (纸本)0819415340

advanced algorithms for synthetic aperture radar (SAR) imaging have in the past required computing capabilities only available from high performance special purpose hardware. Such architectures have tended to have short life cycles with respect to development expense. Current generation Massively Parallel Processors (MPP) are offering high performance capabilities necessary for such applications with both a scalable architecture and a longer projected life cycle. In this paper we explore issues associated with implementation of a SAR imaging algorithm on a mesh configured MPP architecture.

关键词： Synthetic aperture radar Image processing Radar Radar imaging Image acquisition Data communications Digital signal processing Image compression Parallel computing signal processing

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