Dr. Gabriel Cristóbal Perez Profile

Dr. Gabriel Cristóbal Perez

Research Scientist at Instituto de Óptica "Daza de Valdés"

SPIE Involvement:

Conference Chair | Conference Program Committee | Author | Editor

Publications (65)

PROCEEDINGS ARTICLE | May 24, 2018

Lights and pitfalls of convolutional neural networks for diatom identification

Proc. SPIE. 10679, Optics, Photonics, and Digital Technologies for Imaging Applications V

KEYWORDS: Biomedical optics, Convolutional neural networks, Image processing, Data acquisition, Data processing, Neural networks, Algorithm development

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SPIE Conference Volume | September 26, 2016

Optics, Photonics and Digital Technologies for Imaging Applications IV

PROCEEDINGS ARTICLE | April 29, 2016

Image quality metrics applied to digital pathology

Proc. SPIE. 9896, Optics, Photonics and Digital Technologies for Imaging Applications IV

KEYWORDS: Breast, Visualization, Tissues, Speckle, Image processing, Pathology, Distortion, Image analysis, Quality measurement, Image quality, Image quality, Digital imaging, Signal processing, Optical proximity correction, Algorithm development, Information visualization

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PROCEEDINGS ARTICLE | September 22, 2015

Analysis of the hand vein pattern for people recognition

Proc. SPIE. 9599, Applications of Digital Image Processing XXXVIII

KEYWORDS: Infrared imaging, Light sources, Veins, Image segmentation, Image processing, Computing systems, Image acquisition, Feature extraction, Neural networks, Image enhancement

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PROCEEDINGS ARTICLE | October 2, 2014

Hurst exponent for fractal characterization of LANDSAT images

Proc. SPIE. 9221, Remote Sensing and Modeling of Ecosystems for Sustainability XI

KEYWORDS: Thermography, Landsat, Satellites, Complex systems, Linear filtering, Satellite imaging, Ecosystems, Fractal analysis, Systems modeling, Earth observing sensors

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SPIE Conference Volume | May 19, 2014

Optics, Photonics, and Digital Technologies for Multimedia Applications III

PROCEEDINGS ARTICLE | May 15, 2014

Texture descriptor approaches to level set segmentation in medical images

Proc. SPIE. 9138, Optics, Photonics, and Digital Technologies for Multimedia Applications III

KEYWORDS: Image processing algorithms and systems, Signal attenuation, Blood, Image segmentation, Medical diagnostics, Heart, Medical imaging, Computed tomography, Image understanding, Binary data

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PROCEEDINGS ARTICLE | November 19, 2013

A probabilistic model of emphysema based on granulometry analysis

Proc. SPIE. 8922, IX International Seminar on Medical Information Processing and Analysis

KEYWORDS: Statistical analysis, Tissues, Image segmentation, Feature extraction, Lung, Analytical research, Selenium, Binary data, Emphysema, Lawrencium

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PROCEEDINGS ARTICLE | September 26, 2013

Midbrain volume segmentation using active shape models and LBPs

Proc. SPIE. 8856, Applications of Digital Image Processing XXXVI

KEYWORDS: Image processing algorithms and systems, Statistical analysis, Visualization, Magnetic resonance imaging, Image segmentation, Volume rendering, Distance measurement, Statistical modeling, Binary data, Brain

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SPIE Journal Paper | July 17, 2012

Anisotropy-based robust focus measure for non-mydriatic retinal imaging

Marrugo, Andres , Millán, María , Abril Baez, Hector , Cristóbal, Gabriel , Gabarda, Salvador

JBO Vol. 17 Issue 7

KEYWORDS: Fermium, Frequency modulation, Eye, Cameras, Retinal scanning, Anisotropy, Imaging systems, Image processing, Nonlinear filtering, Image quality

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SPIE Conference Volume | May 23, 2012

Optics, Photonics, and Digital Technologies for Multimedia Applications II

PROCEEDINGS ARTICLE | May 1, 2012

Image analysis in modern ophthalmology: from acquisition to computer assisted diagnosis and telemedicine

Proc. SPIE. 8436, Optics, Photonics, and Digital Technologies for Multimedia Applications II

KEYWORDS: Point spread functions, Ophthalmology, Visualization, Image processing, Photography, Image restoration, Image quality, Telemedicine, Deconvolution, Image enhancement

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PROCEEDINGS ARTICLE | May 1, 2012

A comprehensive study of texture analysis based on local binary patterns

Proc. SPIE. 8436, Optics, Photonics, and Digital Technologies for Multimedia Applications II

KEYWORDS: Facial recognition systems, Statistical analysis, Visualization, Databases, Computer programming, Feature extraction, Distance measurement, Light sources and illumination, Analytical research, Binary data

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One of the main goals of texture analysis is to provide a robust mathematical description of the spatial behavior of intensity values in any given neighborhood. These local distributions {called textures{ characterize object surfaces and are used for pattern identication and recognition of images. However, some spatial patterns may vary from quite simple stripes to randomness, where textures look like unstructured noise. Since textures can exhibit a large number of properties such as surface materials and geometry of the lighting sources, many dierent approaches have been proposed. A featured method is the modication of Wang's algorithm made by Ojala et al, the so-called local binary patterns (LBP). The LBP algorithm uses a 3×3 square mask named "texture spectrum" which represents a neighborhood around a central pixel. The values in the square mask are compared with the central pixel and then multiplied by a weighting function according with their positions. This technique has become popular due to its computational simplicity and more importantly for encoding a powerful signature for describing textures. Specially, it has gained increased importance in image classication, where the success not only depends on a robust classier but also relies in a good selection of the feature descriptors. However, Ojala's algorithm presents some limitations such as noise sensitivity and lack of invariance to rotational changes. This fact has fostered many extensions of the original LBP approach that in many cases are based on minor changes in order to attain e.g. illumination and rotational invariance or improving the robustness to noise. In this paper we present a detailed overview of the LBP algorithm and other recently modications. In addition, we perform a texture classication study with seven algorithms in presence of rotational changes, noise degradation, contrast information, and dierent sizes of LBP masks using the USC-SIPI database. The LBP histograms have been evaluated using the Kullback-Leibler distance. This study will be a valuable insight for establishing a robust and ecient texture descriptor to solve real world problems.

SPIE Journal Paper | March 26, 2012

Autofocus evaluation for brightfield microscopy pathology

Redondo, Rafael , Cristóbal, Gabriel , Bueno Garcia, Gloria , Deniz, Oscar , Salido, Jesus , del Milagro Fernandez, Maria , Vidal, Juan , Valdiviezo, Juan Carlos , Nava, Rodrigo , Escalante-Ramírez, Boris , Garcia-Rojo, Marcial

JBO Vol. 17 Issue 03

KEYWORDS: Microscopy, Pathology, Tissues, Cell biology, Image analysis, Breast, Biopsy, Lung, Computing systems, Image processing

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PROCEEDINGS ARTICLE | November 3, 2011

Evaluation of autofocus measures for microscopy images of biopsy and cytology

Proc. SPIE. 8011, 22nd Congress of the International Commission for Optics: Light for the Development of the World

KEYWORDS: Breast, Tissues, Microscopy, Computing systems, Image acquisition, Image analysis, Biopsy, Cell biology, Picosecond phenomena, Biological research

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PROCEEDINGS ARTICLE | May 6, 2010

A new Rényi entropy-based local image descriptor for object recognition

Proc. SPIE. 7723, Optics, Photonics, and Digital Technologies for Multimedia Applications

KEYWORDS: Clocks, Detection and tracking algorithms, Databases, Image processing, Feature extraction, Solids, Object recognition, Reconstruction algorithms, Tolerancing, Time-frequency analysis

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PROCEEDINGS ARTICLE | May 5, 2010

Blind quality assessment of multi-focus image fusion algorithms

Proc. SPIE. 7723, Optics, Photonics, and Digital Technologies for Multimedia Applications

KEYWORDS: Signal to noise ratio, Image fusion, Visualization, Image processing, Wavelets, Image registration, Quality measurement, Image quality, Data processing, Image information entropy

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SPIE Conference Volume | May 4, 2010

Optics, Photonics, and Digital Technologies for Multimedia Applications

PROCEEDINGS ARTICLE | September 2, 2009

Image denoising and quality assessment through the Rényi entropy

Proc. SPIE. 7444, Mathematics for Signal and Information Processing

KEYWORDS: Anisotropic filtering, Synthetic aperture radar, Digital filtering, Wavelets, Denoising, Image analysis, Image quality, Image filtering, Image denoising, Anisotropy

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PROCEEDINGS ARTICLE | September 1, 2009

Applications of the programmable two-dimensional optical fractional Fourier processor

Proc. SPIE. 7442, Optics and Photonics for Information Processing III

KEYWORDS: Telescopes, Modulation, Lenses, Fourier transforms, Phase shift keying, Spatial light modulators, Phase retrieval, Data processing, Signal generators, Wavefront distortions

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PROCEEDINGS ARTICLE | May 28, 2009

Anisotropic quality measurement applied to H.264 video compression

Proc. SPIE. 7363, VLSI Circuits and Systems IV

KEYWORDS: Image compression, Video, Computer programming, Quality measurement, Image quality, Video compression, Quantization, Visual system, Image quality standards, Anisotropy

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PROCEEDINGS ARTICLE | September 3, 2008

Image analysis through high-order entropy measures extracted from time-frequency representations

Proc. SPIE. 7074, Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII

KEYWORDS: Image fusion, Visualization, Image processing, Wavelets, Image analysis, Image quality, Digital imaging, Time-frequency analysis, Image information entropy, Anisotropy

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PROCEEDINGS ARTICLE | September 3, 2008

Superresolution imaging: a survey of current techniques

Proc. SPIE. 7074, Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII

KEYWORDS: Point spread functions, Super resolution, Sensors, Image processing, Image resolution, Linear filtering, Image registration, Deconvolution, Model-based design, Lawrencium

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SPIE Conference Volume | June 2, 2008

Optical and Digital Image Processing

PROCEEDINGS ARTICLE | May 19, 2008

A novel multi-focus image fusion algorithm based on feature extraction and wavelets

Proc. SPIE. 7000, Optical and Digital Image Processing

KEYWORDS: Image fusion, Sensors, Image segmentation, Image processing, Wavelets, Composites, Feature extraction, Image quality, Image sensors, Image filtering

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PROCEEDINGS ARTICLE | April 25, 2008

Image quality assessment through a logarithmic anisotropic measure

Proc. SPIE. 7000, Optical and Digital Image Processing

KEYWORDS: Signal to noise ratio, Visualization, Image processing, Quality measurement, Image quality, Visual system, Image enhancement, Statistical modeling, Information visualization, Anisotropy

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PROCEEDINGS ARTICLE | July 10, 2007

The generalized Rényi image entropy as a noise indicator

Proc. SPIE. 6603, Noise and Fluctuations in Photonics, Quantum Optics, and Communications

KEYWORDS: Visualization, Image processing, Image analysis, Quality measurement, Image quality, Digital imaging, Lab on a chip, Image enhancement, Image information entropy, Anisotropy

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PROCEEDINGS ARTICLE | May 22, 2007

Nonreference image fusion evaluation procedure based on mutual information and a generalized entropy measure

Proc. SPIE. 6592, Bioengineered and Bioinspired Systems III

KEYWORDS: Signal to noise ratio, Image fusion, Visualization, Image processing, Wavelets, Image resolution, Discrete wavelet transforms, Image quality, Image information entropy, Data fusion

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PROCEEDINGS ARTICLE | May 22, 2007

Quality evaluation of blurred and noisy images through local entropy histograms

Proc. SPIE. 6592, Bioengineered and Bioinspired Systems III

KEYWORDS: Image processing, Image resolution, Image analysis, Quality measurement, Image quality, Image enhancement, Image classification, Image information entropy, Resolution enhancement technologies, Anisotropy

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PROCEEDINGS ARTICLE | August 25, 2006

On the development of a high-order texture analysis using the PWD and Renyi entropy

Proc. SPIE. 6313, Advanced Signal Processing Algorithms, Architectures, and Implementations XVI

KEYWORDS: Image segmentation, Image processing, Time metrology, Distance measurement, Performance modeling, Binary data, Image information entropy, Anisotropy, Correlation function, Data analysis

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PROCEEDINGS ARTICLE | August 24, 2006

A hybrid spatiotemporal and Hough-based motion estimation approach applied to magnetic resonance cardiac images

Proc. SPIE. 6312, Applications of Digital Image Processing XXIX

KEYWORDS: Spatial frequencies, Magnetism, Fourier transforms, Heart, Hough transforms, Optical flow, Motion measurement, Motion analysis, Motion estimation, 3D image processing

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PROCEEDINGS ARTICLE | September 17, 2005

Spectral modeling of nonstationary clouds

Proc. SPIE. 5910, Advanced Signal Processing Algorithms, Architectures, and Implementations XV

KEYWORDS: Roads, Denoising, Fourier transforms, Clouds, Humidity, Convolution, Analytical research, Algorithm development, Filtering (signal processing), Spectral models

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PROCEEDINGS ARTICLE | September 16, 2005

The Rényi entropy as a decision measure for a pseudo-Wigner distribution image fusion framework

Proc. SPIE. 5910, Advanced Signal Processing Algorithms, Architectures, and Implementations XV

KEYWORDS: Image fusion, Biomedical optics, Visualization, Image processing, Digital cameras, Image quality, Signal processing, Image enhancement, Time-frequency analysis, Image information entropy

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PROCEEDINGS ARTICLE | September 16, 2005

Multifocus fusion with multisize windows

Proc. SPIE. 5909, Applications of Digital Image Processing XXVIII

KEYWORDS: Image fusion, Speckle, Image segmentation, Image processing, Wavelets, Transform theory, Image quality, Information operations, Fusion energy, Data fusion

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PROCEEDINGS ARTICLE | June 29, 2005

Blind image deconvolution using an evolutionary algorithm and image fusion

Proc. SPIE. 5839, Bioengineered and Bioinspired Systems II

KEYWORDS: Image fusion, Point spread functions, Image processing, Image quality, Deconvolution, Image enhancement, Optimization (mathematics), Stochastic processes, Image deconvolution, Evolutionary algorithms

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PROCEEDINGS ARTICLE | June 29, 2005

Multifocus fusion with oriented windows

Proc. SPIE. 5839, Bioengineered and Bioinspired Systems II

KEYWORDS: Signal to noise ratio, Image fusion, Wavelet transforms, 3D image reconstruction, Image segmentation, Image processing, Wavelets, Image quality, Volume rendering, Fusion energy

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PROCEEDINGS ARTICLE | June 29, 2005

Sparse Gabor wavelets by local operations

Proc. SPIE. 5839, Bioengineered and Bioinspired Systems II

KEYWORDS: Wavelet transforms, Image compression, Wavelets, Denoising, Transform theory, Head, Quantization, Image filtering, Image enhancement, Image denoising

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SPIE Journal Paper | April 1, 2005

Multifocus image fusion through pseudo-Wigner distribution

Gabarda, Salvador , Cristóbal-Perez, Gabriel

OE Vol. 44 Issue 04

KEYWORDS: Image fusion, Image enhancement, Image processing, Distance measurement, Image restoration, Optical engineering, Binary data, Convolution, Smoothing, Signal to noise ratio

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PROCEEDINGS ARTICLE | November 2, 2004

Volumetric image fusion using the pseudo-Wigner distribution

Proc. SPIE. 5558, Applications of Digital Image Processing XXVII

KEYWORDS: Image fusion, Cameras, Image processing, Image restoration, Image resolution, Quality measurement, Microorganisms, Image quality, Distance measurement, Image enhancement

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PROCEEDINGS ARTICLE | November 1, 2004

Compression of volumetric data sets using motion-compensated temporal filtering

Proc. SPIE. 5607, Wavelet Applications in Industrial Processing II

KEYWORDS: Wavelet transforms, Data compression, Video, Wavelets, Distortion, Computer programming, Video compression, Motion models, Motion estimation, Video coding

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PROCEEDINGS ARTICLE | October 26, 2004

Texture segmentation and analysis for tissue characterization

Proc. SPIE. 5559, Advanced Signal Processing Algorithms, Architectures, and Implementations XIV

KEYWORDS: Principal component analysis, Tissues, Image segmentation, Linear filtering, Bone, Image filtering, Signal analyzers, Filtering (signal processing), Anisotropy, Bandpass filters

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PROCEEDINGS ARTICLE | May 25, 2004

Cloud denoising

Proc. SPIE. 5467, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems II

KEYWORDS: Image fusion, Biomedical optics, Fluctuations and noise, Spatial frequencies, Cameras, Denoising, Clouds, Image registration, Image filtering, Image enhancement

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PROCEEDINGS ARTICLE | December 30, 2003

Automatic screening and multifocus fusion methods for diatom identification

Proc. SPIE. 5200, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation VI

KEYWORDS: Image fusion, Detection and tracking algorithms, Visualization, Water, Image segmentation, Image processing, Wavelets, Feature extraction, Mahalanobis distance, Fusion energy

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PROCEEDINGS ARTICLE | December 30, 2003

On the 1/f model for cloud generation

Proc. SPIE. 5200, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation VI

KEYWORDS: Roads, Fourier transforms, Numerical simulations, Clouds, Differential equations, Neural networks, Analytical research, Stochastic processes, Systems modeling, Evolutionary algorithms

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PROCEEDINGS ARTICLE | November 19, 2003

Texture discrimination using the Wigner-Ville distribution

Proc. SPIE. 5203, Applications of Digital Image Processing XXVI

KEYWORDS: Principal component analysis, Data compression, Image segmentation, Image analysis, Medical imaging, Smoothing, Neural networks, Image classification, Signal analyzers, Filtering (signal processing)

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PROCEEDINGS ARTICLE | November 19, 2003

Automatic identification techniques of tuberculosis bacteria

Proc. SPIE. 5203, Applications of Digital Image Processing XXVI

KEYWORDS: Statistical analysis, Image segmentation, Image processing, Particles, Luminescence, Error analysis, Image analysis, Shape analysis, Image classification, Bacteria

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PROCEEDINGS ARTICLE | April 18, 2003

Novel theory on mach-bands and gradient formation in early vision

Proc. SPIE. 5119, Bioengineered and Bioinspired Systems

KEYWORDS: Visualization, Retina, Diffusion, Complex systems, Reflectivity, Image restoration, Visual system, Nonlinear filtering, Computer architecture, Neurons

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SPIE Journal Paper | February 1, 2003

Automatic object identification irrespective of geometric changes

Pech-Pacheco, Jose , Alvarez-Borrego, Josue , Cristobal, Gabriel , Keil, Matthias

OE Vol. 42 Issue 02

KEYWORDS: Phase only filters, Image processing, Image filtering, Fourier transforms, Optical engineering, Image registration, Visualization, Optical filters, Organisms, Convolution

PROCEEDINGS ARTICLE | December 6, 2002

Phase-amplitude study of clouds

Proc. SPIE. 4791, Advanced Signal Processing Algorithms, Architectures, and Implementations XII

KEYWORDS: Roads, Denoising, Fourier transforms, Linear filtering, Clouds, Image analysis, Optical inspection, Signal processing, Analytical research, Filtering (signal processing)

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PROCEEDINGS ARTICLE | November 21, 2002

Automatic diatom recognition on digital images

Proc. SPIE. 4790, Applications of Digital Image Processing XXV

KEYWORDS: Microscopes, Digital image processing, Detection and tracking algorithms, Silica, Image segmentation, Image processing, Pattern recognition, Organisms, Ecosystems, Image classification

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PROCEEDINGS ARTICLE | November 21, 2002

Study of 21 fragmented fossil diatoms using a digital invariant correlation

Proc. SPIE. 4790, Applications of Digital Image Processing XXV

KEYWORDS: Statistical analysis, Digital image processing, Organisms, Ecology, Climate change, System identification, Oceanography, Data conversion, Climatology, Phase only filters

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PROCEEDINGS ARTICLE | November 15, 2002

Segmentation, autofocusing, and signature extraction of tuberculosis sputum images

Proc. SPIE. 4788, Photonic Devices and Algorithms for Computing IV

KEYWORDS: Optical filters, Image segmentation, Image processing, Luminescence, Feature extraction, Colorimetry, Color image processing, Mathematical morphology, Fuzzy logic, Bacteria

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SPIE Journal Paper | April 1, 2002

Invariant recognition of polychromatic images of Vibrio cholerae 01

Alvarez-Borrego, Josue , Mourino-Perez, Rosa , Cristobal, Gabriel , Pech-Pacheco, Jose

OE Vol. 41 Issue 04

KEYWORDS: Bacteria, Organisms, Fourier transforms, Image filtering, Polymer optical fibers, Optical filters, Phase only filters, Optical engineering, Climate change, Climatology

PROCEEDINGS ARTICLE | November 13, 2001

Automatic sputum color image segmentation for tuberculosis diagnosis

Proc. SPIE. 4471, Algorithms and Systems for Optical Information Processing V

KEYWORDS: Image segmentation, Particles, Luminescence, Image analysis, Image filtering, Fuzzy logic, Phase only filters, Color image segmentation, RGB color model, Bacteria

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PROCEEDINGS ARTICLE | November 13, 2001

Identification of a red tide blooming species through an automatic optical-digital system

Proc. SPIE. 4471, Algorithms and Systems for Optical Information Processing V

KEYWORDS: Microscopes, Optical signal processing, Interfaces, Organisms, LCDs

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PROCEEDINGS ARTICLE | August 14, 2001

Fragmented fossil diatoms using an invariant correlation method

Proc. SPIE. 4419, 4th Iberoamerican Meeting on Optics and 7th Latin American Meeting on Optics, Lasers, and Their Applications

KEYWORDS: Biomedical optics, Statistical analysis, Organisms, Ocean optics, Ecology, Climate change, System identification, Oceanography, Climatology, Phase only filters

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PROCEEDINGS ARTICLE | November 2, 2000

Power cepstral image analysis through the scale transform

Proc. SPIE. 4113, Algorithms and Systems for Optical Information Processing IV

KEYWORDS: Image fusion, Image processing, Digital filtering, Microscopy, Particles, Image restoration, Fourier transforms, Image analysis, Image registration, Current controlled current source

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PROCEEDINGS ARTICLE | March 21, 2000

Eggshell defects detection based on color processing

Proc. SPIE. 3966, Machine Vision Applications in Industrial Inspection VIII

KEYWORDS: Defect detection, Visualization, Cameras, Blood, Image processing, Inspection, CCD cameras, Machine vision, Algorithm development, Binary data

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PROCEEDINGS ARTICLE | November 2, 1999

Denoising using time-frequency and image processing methods

Proc. SPIE. 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX

KEYWORDS: Optical filters, Fourier transforms, Interference (communication), Transform theory, Frequency modulation, Signal processing, Fermium, Electronic filtering, Filtering (signal processing), Time-frequency analysis

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PROCEEDINGS ARTICLE | November 1, 1999

How is luminance information passed into the cortex: emergent multifunctional behavior of a simple cell model

Proc. SPIE. 3812, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation II

KEYWORDS: Visual process modeling, Visualization, Sensors, Retina, Solids, Visual system, Space operations, Visual cortex, Circuit switching, Information operations

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PROCEEDINGS ARTICLE | October 18, 1999

Rank order filtering based on accelerated algorithm of local histogram calculation

Proc. SPIE. 3808, Applications of Digital Image Processing XXII

KEYWORDS: Satellites, Synthetic aperture radar, Digital filtering, Satellite imaging, Signal processing, Image filtering, Image contrast enhancement, Electronic filtering, Filtering (signal processing), Earth observing sensors

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PROCEEDINGS ARTICLE | October 14, 1997

Global and local translation and magnification

Proc. SPIE. 3167, Statistical and Stochastic Methods in Image Processing II

KEYWORDS: Fourier transforms

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PROCEEDINGS ARTICLE | October 23, 1996

Wavelet-based denoising methods: a comparative study with applications in microscopy

Proc. SPIE. 2825, Wavelet Applications in Signal and Image Processing IV

KEYWORDS: Image processing, Digital filtering, Wavelets, Denoising, Microscopy, Linear filtering, Signal processing, Acquisition tracking and pointing, Nonlinear filtering, Filtering (signal processing)

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PROCEEDINGS ARTICLE | October 22, 1996

Scale in images

Proc. SPIE. 2846, Advanced Signal Processing Algorithms, Architectures, and Implementations VI

KEYWORDS: Optical filters, Cameras, Denoising, Fourier transforms, Image resolution, Linear filtering, Vibrometry, Signal processing, Fractal analysis, Multidimensional signal processing

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PROCEEDINGS ARTICLE | October 8, 1996

Signal reconstruction with a small set Gabor filters

Proc. SPIE. 2823, Statistical and Stochastic Methods for Image Processing

KEYWORDS: Signal to noise ratio, Optical filters, Fourier transforms, Linear filtering, Image quality, Gaussian filters, Image filtering, Reconstruction algorithms, Electronic filtering, Bandpass filters

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