Prof. Moon Gi Kang Profile

Prof. Moon Gi Kang

Professor at Yonsei Univ

SPIE Involvement:

Author

Publications (51)

SPIE Journal Paper | 28 March 2016

Multispectral demosaicking considering out-of-focus problem for red-green-blue-near-infrared image sensors

Ji Yong Kwon, Moon Gi Kang

JEI, Vol. 25, Issue 02, 023010, (March 2016) https://doi.org/10.1117/12.10.1117/1.JEI.25.2.023010

KEYWORDS: Image sensors, Near infrared, Sensors, Image processing, RGB color model, Image filtering, Image analysis, Algorithm development, Image quality, Optical filters

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Proceedings Article | 16 March 2015 Paper

Intermediate color interpolation for color filter array containing the white channel

Sang Wook Park, Moon Gi Kang, Jonghyun Kim

Proceedings Volume 9399, 93990B (2015) https://doi.org/10.1117/12.2076485

KEYWORDS: Optical filters, Sensors, Linear filtering, RGB color model, Color difference, Signal to noise ratio, Algorithm development, Reliability, Visualization, Digital cameras

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Proceedings Article | 16 March 2015 Paper

Joint demosaicking and integer-ratio downsampling algorithm for color filter array image

Sangyoon Lee, Moon Gi Kang

Proceedings Volume 9399, 93990A (2015) https://doi.org/10.1117/12.2083177

KEYWORDS: Image filtering, Image processing, Optical filters, Image sensors, Manganese, Sensors, Bandpass filters, Imaging arrays, Image resolution, Fourier transforms

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SPIE Journal Paper | 22 September 2014

Contrast enhancement algorithm considering surrounding information by illumination image

Ki Sun Song, Hee Kang, Moon Gi Kang

JEI, Vol. 23, Issue 05, 053010, (September 2014) https://doi.org/10.1117/12.10.1117/1.JEI.23.5.053010

KEYWORDS: Image enhancement, Image contrast enhancement, Image analysis, Phase modulation, Image processing, Curium, Associative arrays, Image restoration, Algorithm development, Image filtering

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SPIE Journal Paper | 19 May 2014

Generalized color interpolation scheme based on intermediate quincuncial pattern

Sang Wook Park, Moon Gi Kang

JEI, Vol. 23, Issue 03, 030501, (May 2014) https://doi.org/10.1117/12.10.1117/1.JEI.23.3.030501

KEYWORDS: Optical filters, Light sources and illumination, Algorithm development, Image resolution, Reconstruction algorithms, Algorithms, Digital filtering, Linear filtering, RGB color model, Nonlinear filtering

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Proceedings Article | 19 February 2013 Paper

Kernel-based image upscaling method with shooting artifact reduction

Chul Hee Park, Joonyoung Chang, Moon Gi Kang

Proceedings Volume 8655, 86550T (2013) https://doi.org/10.1117/12.2003326

KEYWORDS: Image processing, Image quality, Convolution, Image resolution, Digital filtering, Image filtering, Image scaling, Control systems, Sinc filters, Image enhancement

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Proceedings Article | 19 February 2013 Paper

Improved multichannel up-sampling method for reconstruction based super-resolution

Moon Gi Kang, Seung Hoon Jee

Proceedings Volume 8655, 86550S (2013) https://doi.org/10.1117/12.2003294

KEYWORDS: Super resolution, Data modeling, Image processing, Image restoration, Image resolution, Reconstruction algorithms, Neodymium, Ions, Convolution, Lawrencium

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SPIE Journal Paper | 6 June 2012

Image denoising filter based on patch-based difference refinement

Sang Wook Park, Moon Gi Kang

OE, Vol. 51, Issue 6, 067007, (June 2012) https://doi.org/10.1117/12.10.1117/1.OE.51.6.067007

KEYWORDS: Image filtering, Denoising, Image denoising, Optical filters, Optical engineering, Digital filtering, Cameras, Image quality, Image processing, Statistical analysis

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Proceedings Article | 2 February 2012 Paper

Super-resolution image reconstruction with edge adaptive weight in video sequence

Ji Yong Kwon, Jong Hyun Park, Se Hyeok Park, Du Sic Yoo, Moon Gi Kang

Proceedings Volume 8295, 82950M (2012) https://doi.org/10.1117/12.905368

KEYWORDS: Video, Lawrencium, Reconstruction algorithms, Image analysis, Image restoration, Image registration, Motion estimation, Super resolution, Image processing, Control systems

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Proceedings Article | 2 February 2012 Paper

Region adaptive correction method for radial distortion of fish-eye image

Moon Gi Kang, Ki Sun Song, Young Seok Han

Proceedings Volume 8295, 82950L (2012) https://doi.org/10.1117/12.907189

KEYWORDS: Distortion, Systems modeling, Cameras, Image processing, Coded apertures, Imaging systems, Iterative methods, Iris, Sun, Information technology

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Proceedings Article | 2 February 2012 Paper

Motion-compensated spatial-temporal filtering for noisy CFA sequence

Min Seok Lee, Sang Wook Park, Moon Gi Kang

Proceedings Volume 8295, 82951D (2012) https://doi.org/10.1117/12.907564

KEYWORDS: Digital filtering, Microchannel plates, Denoising, Video, Optical filters, Motion estimation, Motion detection, Spatial filters, Image processing, Cameras

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SPIE Journal Paper | 1 September 2011 Open Access

Scale-adaptive object tracking using color centroids

Suk-Ho Lee, Euncheol Choi, Moon Gi Kang

OE, Vol. 50, Issue 09, 090501, (September 2011) https://doi.org/10.1117/12.10.1117/1.3633648

KEYWORDS: Detection and tracking algorithms, Computer vision technology, Machine vision, Pattern recognition, Zoom lenses, Image processing, Electronic filtering, Optical engineering, Particles, Particle filters

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SPIE Journal Paper | 1 May 2011

Illumination change adaptive tracking based on color centroid shifting

Suk Ho Lee, Euncheol Choi, Moon Gi Kang

OE, Vol. 50, Issue 05, 057205, (May 2011) https://doi.org/10.1117/12.10.1117/1.3577662

KEYWORDS: Detection and tracking algorithms, Optical tracking, Illumination engineering, RGB color model, Optical engineering, Electronic filtering, Error analysis, Filtering (signal processing), Particle filters, Image segmentation

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SPIE Journal Paper | 1 April 2011

Color rolling suppression algorithm considering luminance and color constancy

Hyun Mook Oh, Joonyoung Chang, Bong Hyup Kang, Moon Gi Kang

JEI, Vol. 20, Issue 02, 023009, (April 2011) https://doi.org/10.1117/12.10.1117/1.3582130

KEYWORDS: Chromium, Lamps, Cameras, Light sources, Sensors, Target detection, Motion detection, Image quality, Digital imaging, Motion estimation

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SPIE Journal Paper | 1 July 2010

Partial differential equation-based approach for removal of chromatic aberration with local characteristics

Hee Kang, Suk-Ho Lee, Joonyoung Chang, Moon Gi Kang

JEI, Vol. 19, Issue 3, 033016, (July 2010) https://doi.org/10.1117/12.10.1117/1.3494278

KEYWORDS: Chromatic aberrations, Image sensors, Cameras, Image processing, Partial differential equations, Signal processing, Calcium, Digital filtering, Visualization, Information technology

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Proceedings Article | 4 May 2010 Paper

Construction of super-resolution imaging system considering spatially varying sub-pixel registration

Jongseong Choi, Moon Gi Kang, Joonyoung Chang, Sang Wook Park

Proceedings Volume 7723, 772306 (2010) https://doi.org/10.1117/12.855622

KEYWORDS: Imaging systems, Super resolution, Image registration, Prototyping, Reconstruction algorithms, Motion models, Image restoration, Motion estimation, Spatial resolution, Image resolution

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SPIE Journal Paper | 1 April 2010

Global motion-compensated preprocessing algorithm for block-based frame-rate conversion

Young Duk Kim, Joonyoung Chang, Moon Gi Kang

JEI, Vol. 19, Issue 02, 023001, (April 2010) https://doi.org/10.1117/12.10.1117/1.3373514

KEYWORDS: Cameras, Zoom lenses, Motion estimation, Video, Motion models, LCDs, Error analysis, Image quality, Reconstruction algorithms, Video coding

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Proceedings Article | 29 January 2010 Paper

Motion detection with level set-based segmentation

Nam-seok Choi, Suk-ho Lee, Moon Gi Kang

Proceedings Volume 7538, 75380O (2010) https://doi.org/10.1117/12.839159

KEYWORDS: Image segmentation, Motion detection, Image processing, Charge-coupled devices, Video surveillance, Signal to noise ratio, Detection and tracking algorithms, Environmental sensing, Spatial filters, Surveillance systems

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SPIE Journal Paper | 1 September 2008

Frame-rate conversion using hybrid-search-based motion estimation and adaptive motion-compensated interpolation

Young Duk Kim, Joonyoung Chang, Gun Shik Shin, Moon Gi Kang

OE, Vol. 47, Issue 09, 097002, (September 2008) https://doi.org/10.1117/12.10.1117/1.2977793

KEYWORDS: Motion estimation, Video, Reliability, Optical engineering, Surface plasmons, Image quality, Lithium, Motion analysis, Visualization, Image enhancement

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SPIE Journal Paper | 1 April 2008

Interlaced-to-progressive conversion using adaptive projection-based global and representative local motion estimation

Young Duk Kim, Joonyoung Chang, Gun Shik Shin, Moon Gi Kang

JEI, Vol. 17, Issue 02, 023008, (April 2008) https://doi.org/10.1117/12.10.1117/1.2938998

KEYWORDS: Motion estimation, Reliability, Multiplexing, Global Positioning System, Motion measurement, Image quality, Video, Image resolution, Resolution enhancement technologies, Image enhancement

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Proceedings Article | 3 March 2008 Paper

Block artifact reduction in BMA-based super-resolution video processing

Young Wook Sohn, Moon Gi Kang

Proceedings Volume 6812, 681212 (2008) https://doi.org/10.1117/12.766197

KEYWORDS: Video processing, Super resolution, Reliability, Image registration, Motion estimation, Image processing, Lawrencium, Video, Motion models, Error analysis

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Proceedings Article | 28 January 2008 Paper

Motion tracking with non-stationary camera based on area and level set weighted average of centroid shifting vectors

Suk-Ho Lee, Moon Gi Kang

Proceedings Volume 6822, 682209 (2008) https://doi.org/10.1117/12.765724

KEYWORDS: Detection and tracking algorithms, Cameras, Image segmentation, Video, Image processing algorithms and systems, Electronics engineering, Information technology, Intelligence systems, Surveillance systems, Motion models

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SPIE Journal Paper | 1 November 2007

Multispectral iris authentication system against counterfeit attack using gradient-based image fusion

Jong Hyun Park, Moon-Gi Kang

OE, Vol. 46, Issue 11, 117003, (November 2007) https://doi.org/10.1117/12.10.1117/1.2802367

KEYWORDS: Iris recognition, Iris, Image fusion, Image processing, Multispectral imaging, Infrared imaging, Optical engineering, Databases, Detection and tracking algorithms, Imaging systems

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SPIE Journal Paper | 1 November 2007

Regularized high-resolution image reconstruction considering inaccurate motion information

Min Kyu Park, Moon-Gi Kang, Aggelos Katsaggelos

OE, Vol. 46, Issue 11, 117004, (November 2007) https://doi.org/10.1117/12.10.1117/1.2802611

KEYWORDS: Reconstruction algorithms, Motion estimation, Image restoration, Error analysis, Optical engineering, Lawrencium, Motion analysis, Drug discovery, Algorithm development, Distortion

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SPIE Journal Paper | 1 February 2007

Color transient improvement for signals with a bandlimited chrominance component

Joonyoung Chang, Gun Shik Shin, Jong Hyun Park, Moon Gi Kang

OE, Vol. 46, Issue 02, 027002, (February 2007) https://doi.org/10.1117/12.10.1117/1.2709633

KEYWORDS: Video, Signal processing, Electronic filtering, Linear filtering, Analog electronics, Digital imaging, Optical engineering, Televisions, Reconstruction algorithms, Error analysis

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SPIE Journal Paper | 1 October 2006

Edge-dependent interpolation-based deinterlacing using edge patterns

Min Park, Min Byun, Jong Hyun Park, Moon Gi Kang

JEI, Vol. 15, Issue 04, 043003, (October 2006) https://doi.org/10.1117/12.10.1117/1.2360696

KEYWORDS: Digital filtering, Visualization, Motion estimation, Telecommunications, Electronics engineering, Failure analysis, Video, Televisions, Linear filtering, Motion models

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Proceedings Article | 17 February 2006 Paper

Spatially adaptive multi-resolution multi-spectral image fusion based on Bayesian approach

Moon Gi Kang, Jong Hyun Park

Proceedings Volume 6064, 60640T (2006) https://doi.org/10.1117/12.642765

KEYWORDS: Image fusion, Image processing, Error analysis, Image analysis, Image resolution, Image enhancement, Algorithm development, Stochastic processes, Fourier transforms, Visualization

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Proceedings Article | 16 February 2006 Paper

Color transient improvement via range detection

Moon Gi Kang, Gun Shik Shin

Proceedings Volume 6064, 60640A (2006) https://doi.org/10.1117/12.642139

KEYWORDS: Color difference, Detection and tracking algorithms, Signal processing, Signal detection, Optical filters, Electronic filtering, Visualization, Image processing, Target detection, Biometrics

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SPIE Journal Paper | 1 December 2005

Noise insensitive high resolution color interpolation scheme considering cross-channel correlation

Chang Won Kim, Moon Gi Kang

OE, Vol. 44, Issue 12, 127006, (December 2005) https://doi.org/10.1117/12.10.1117/1.2149382

KEYWORDS: Color difference, Optical filters, Lutetium, Image filtering, Optical engineering, Denoising, Image resolution, Digital filtering, RGB color model, Image quality

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SPIE Journal Paper | 1 June 2005

Wavelet-based denoising considering interscale and intrascale dependences

Gun Shik Shin, Moon Gi Kang

OE, Vol. 44, Issue 06, 067002, (June 2005) https://doi.org/10.1117/12.10.1117/1.1925180

KEYWORDS: Wavelets, Denoising, Optical engineering, Edge detection, Filtering (signal processing), Image processing, Interference (communication), Wavelet transforms, Analytical research, Digital imaging

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SPIE Journal Paper | 1 March 2004

Spatially adaptive denoising based on nonstationary correlation assumption

Sung Cheol Park, Moon Gi Kang

OE, Vol. 43, Issue 03, (March 2004) https://doi.org/10.1117/12.10.1117/1.1646181

KEYWORDS: Denoising, Image filtering, Image processing, Statistical analysis, Interference (communication), Optical engineering, Digital filtering, Visualization, Image segmentation, Electronic filtering

SPIE Journal Paper | 1 January 2004

Color interpolation with variable color ratio considering cross-channel correlation

Sang Wook Park, Moon Gi Kang

OE, Vol. 43, Issue 01, (January 2004) https://doi.org/10.1117/12.10.1117/1.1631000

KEYWORDS: Optical engineering, Image enhancement, CCD image sensors, Optical filters, Image resolution, Image processing, Algorithm development, Algorithms, Image quality, Image acquisition

SPIE Journal Paper | 1 January 2004

Optimal regularized image restoration algorithm based on backward diffusion equation

Suk-Ho Lee, Moon Gi Kang

OE, Vol. 43, Issue 01, (January 2004) https://doi.org/10.1117/12.10.1117/1.1630601

KEYWORDS: Image restoration, Diffusion, Image processing, Error analysis, Optical engineering, Cameras, Image filtering, Image quality, Palladium, Optimal filtering

SPIE Journal Paper | 1 November 2003

Transform domain enhanced resizing for a discrete-cosine-transform-based codec

Gun Shik Shin, Moon Gi Kang

OE, Vol. 42, Issue 11, (November 2003) https://doi.org/10.1117/12.10.1117/1.1615991

KEYWORDS: Image compression, Image quality, Convolution, Image enhancement, Spatial filters, Optical engineering, Signal to noise ratio, Image restoration, Image transmission, Image quality standards

SPIE Journal Paper | 1 February 2002

Discrete cosine transform based high-resolution image reconstruction considering the inaccurate subpixel motion information

Min Park, Eun Lee, Jin Park, Moon Gi Kang, Jaihie Kim

OE, Vol. 41, Issue 02, (February 2002) https://doi.org/10.1117/12.10.1117/1.1431552

KEYWORDS: Image restoration, Reconstruction algorithms, Optical engineering, Distortion, Digital image processing, Image deconvolution, Motion analysis, Image processing, Image resolution, Motion estimation

SPIE Journal Paper | 1 December 2001

Edge-adaptive color interpolation algorithm for progressive scan charge-coupled device image sensors

Bong Hur, Moon Gi Kang

OE, Vol. 40, Issue 12, (December 2001) https://doi.org/10.1117/12.10.1117/1.1418713

KEYWORDS: RGB color model, CCD image sensors, Image processing, Optical filters, Detection and tracking algorithms, Edge detection, Optical engineering, Switching, 3D modeling, Image quality

Proceedings Article | 29 December 2000 Paper

Spatially adaptive regularized iterative high-resolution image reconstruction algorithm

Moon Gi Kang, Won Bae Lim, Min Park

Proceedings Volume 4310, (2000) https://doi.org/10.1117/12.411797

KEYWORDS: Image registration, Image resolution, Reconstruction algorithms, Image restoration, Image processing, Image acquisition, Sensors, Imaging systems, Spatial resolution, Error analysis

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High resolution images are often required in applications such as remote sensing, frame freeze in video, military and medical imaging. Digital image sensor arrays, which are used for image acquisition in many imaging systems, are not dense enough to prevent aliasing, so the acquired images will be degraded by aliasing effects. To prevent aliasing without loss of resolution, a dense detector array is required. But it may be very costly or unavailable, thus, many imaging systems are designed to allow some level of aliasing during image acquisition. The purpose of our work is to reconstruct an unaliased high resolution image from the acquired aliased image sequence. In this paper, we propose a spatially adaptive regularized iterative high resolution image reconstruction algorithm for blurred, noisy and down-sampled image sequences. The proposed approach is based on a Constrained Least Squares (CLS) high resolution reconstruction algorithm, with spatially adaptive regularization operators and parameters. These regularization terms are shown to improve the reconstructed image quality by forcing smoothness, while preserving edges in the reconstructed high resolution image. Accurate sub-pixel motion registration is the key of the success of the high resolution image reconstruction algorithm. However, sub-pixel motion registration may have some level of registration error. Therefore, a reconstruction algorithm which is robust against the registration error is required. The registration algorithm uses a gradient based sub-pixel motion estimator which provides shift information for each of the recorded frames. The proposed algorithm is based on a technique of high resolution image reconstruction, and it solves spatially adaptive regularized constrained least square minimization functionals. In this paper, we show that the reconstruction algorithm gives dramatic improvements in the resolution of the reconstructed image and is effective in handling the aliased information. The proposed algorithm is also shown to be robust in the presence of severe registration error. Experimental results are provided to illustrate the performance of the proposed reconstruction algorithm. Comparative analyses with other reconstruction methods are also provided.

SPIE Journal Paper | 1 December 2000

Noise-adaptive edge-preserving image restoration algorithm

Sung Cheol Park, Moon Gi Kang

OE, Vol. 39, Issue 12, (December 2000) https://doi.org/10.1117/12.10.1117/1.1320976

KEYWORDS: Image restoration, Optical engineering, Image processing, Chemical elements, Magnetorheological finishing, Image filtering, Visualization, Process modeling, Matrices, Bandpass filters

SPIE Journal Paper | 1 August 1999

Discrete cosine transform based regularized high-resolution image reconstruction algorithm

Seunghyeon Rhee, Moon Gi Kang

OE, Vol. 38, Issue 08, (August 1999) https://doi.org/10.1117/12.10.1117/1.602177

KEYWORDS: Reconstruction algorithms, Image quality, Deconvolution, Image processing, Optical engineering, Image restoration, Fourier transforms, Charge-coupled devices, Image sensors, Image resolution

Proceedings Article | 28 December 1998 Paper

Algorithm for estimating the degree of camera shaking and noise corruption

Moon Gi Kang, Ji-Woong Choi, Byung-Chul Choi

Proceedings Volume 3653, (1998) https://doi.org/10.1117/12.334606

KEYWORDS: Signal to noise ratio, Point spread functions, Ions, Motion estimation, Tin, Interference (communication), Motion models, Image restoration, Cameras, Image enhancement

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SPIE Journal Paper | 1 November 1998

Generalized multichannel image deconvolution approach and its applications

Moon Gi Kang

OE, Vol. 37, Issue 11, (November 1998) https://doi.org/10.1117/12.10.1117/1.601883

KEYWORDS: Image deconvolution, Image restoration, Deconvolution, Optical engineering, Point spread functions, Wavelets, Image sensors, Signal to noise ratio, Matrices, Image resolution

SPIE Journal Paper | 1 January 1998

Adaptive termination rule for iterative image restoration

Tae Jin Moon, Moon Gi Kang, Kyu Tae Park

OE, Vol. 37, Issue 01, (January 1998) https://doi.org/10.1117/12.10.1117/1.601621

KEYWORDS: Image restoration, Photography, Optical engineering, Image processing, Imaging systems, Fringe analysis, Visualization, Optical transfer functions, Optical testing, Cameras

Proceedings Article | 10 January 1997 Paper

Regularized multichannel restoration approach for globally optimal high-resolution video sequence

Min-Cheol Hong, Moon Gi Kang, Aggelos Katsaggelos

Proceedings Volume 3024, (1997) https://doi.org/10.1117/12.263211

KEYWORDS: Video, Motion estimation, Point spread functions, Image resolution, Control systems, Computer engineering, Mathematical modeling, Image analysis, Image enhancement, Chemical elements

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Proceedings Article | 27 February 1996 Paper

Globally optimal smoothing functional for edge-enhancing regularized image restoration

Aggelos Katsaggelos, Moon Gi Kang, Kyu Tae Park

Proceedings Volume 2727, (1996) https://doi.org/10.1117/12.233226

KEYWORDS: Image restoration, Image enhancement, Spatial frequencies, Image processing, Matrices, Algorithm development, Computer engineering, Electrical engineering, Computer science, Electronics engineering

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Proceedings Article | 18 August 1995 Paper

Spatially adaptive image restoration for autoradiography

Moon Gi Kang, Aggelos Katsaggelos, Gregory Lapin, John Goyette

Proceedings Volume 2622, (1995) https://doi.org/10.1117/12.216883

KEYWORDS: Point spread functions, Absorbance, Image restoration, Interference (communication), Image resolution, Optical spheres, Image processing, Smoothing, Image filtering, Photons

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SPIE Journal Paper | 1 October 1994

Frequency-domain adaptive iterative image restoration and evaluation of the regularization parameter

Moon Gi Kang, Aggelos Katsaggelos

OE, Vol. 33, Issue 10, (October 1994) https://doi.org/10.1117/12.10.1117/12.181245

KEYWORDS: Image restoration, Image processing, Signal to noise ratio, Matrices, Algorithm development, Optical filters, Image quality, Image analysis, Digital imaging, Error analysis

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Proceedings Article | 16 September 1994 Paper

Globally optimal smoothing functional for multichannel image restoration

Moon Gi Kang, Aggelos Katsaggelos

Proceedings Volume 2308, (1994) https://doi.org/10.1117/12.185965

KEYWORDS: Image restoration, Image filtering, Linear filtering, Image sensors, Bandpass filters, Matrices, Error analysis, Point spread functions, Control systems, Signal to noise ratio

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Proceedings Article | 22 October 1993 Paper

Regularized iterative image restoration based on an iteratively updated convex smoothing functional

Aggelos Katsaggelos, Moon Gi Kang

Proceedings Volume 2094, (1993) https://doi.org/10.1117/12.157895

KEYWORDS: Image restoration, Control systems, Image processing, Chemical elements, Image analysis, Bandpass filters, Image filtering, Linear filtering, Process modeling, Matrices

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Proceedings Article | 1 November 1992 Paper

Frequency domain adaptive iterative image restoration and evaluation of the regularization parameter

Moon Gi Kang, Aggelos Katsaggelos

Proceedings Volume 1818, (1992) https://doi.org/10.1117/12.131413

KEYWORDS: Image processing, Image restoration, Algorithm development, Visual communications, Signal to noise ratio, Control systems, Matrices, Error analysis, Algorithms, Nonlinear image processing

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Proceedings Article | 1 November 1991 Paper

Image restoration algorithms based on the bispectrum

Aggelos Katsaggelos, Kuen-Tsair Lay, Moon Gi Kang

Proceedings Volume 1606, (1991) https://doi.org/10.1117/12.50406

KEYWORDS: Image processing, Image restoration, Signal to noise ratio, Visual communications, Interference (communication), Electronic filtering, Error analysis, Fourier transforms, Correlation function, Signal processing

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SPIE Journal Paper | 1 July 1991

Phase estimation using the bispectrum and its application to image restoration

Moon Gi Kang, Kuen-Tsair Lay, Aggelos Katsaggelos

OE, Vol. 30, Issue 07, (July 1991) https://doi.org/10.1117/12.10.1117/12.55893

KEYWORDS: Image restoration, Image filtering, Signal to noise ratio, Error analysis, Electronic filtering, Fourier transforms, Interference (communication), Optical filters, Information technology, Stochastic processes

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Showing 5 of 51 publications

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