A vector quantizer for image restoration

This paper presents a novel technique for image restoration based on nonlinear interpolative vector quantization (NLIVQ). The algorithm performs nonlinear restoration of diffraction-limited images concurrently with quantization. It is trained on image pairs consisting of an original image and its di...

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Published inIEEE transactions on image processing Vol. 7; no. 1; pp. 119 - 124
Main Authors Sheppard, D.G., Bilgin, A., Nadar, M.S., Hunt, B.R., Marcellin, M.W.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.01.1998
Institute of Electrical and Electronics Engineers
Subjects
Applied sciences
Discrete cosine transforms
Exact sciences and technology
Image coding
Image processing
Image restoration
Information, signal and communications theory
Interpolation
Kernel
Optical distortion
Optical signal processing
Signal processing
Signal processing algorithms
Telecommunications and information theory
Vector quantization
Interpolation
Vector quantization
Image processing
Image restoration
Non linear processing
Algorithm
Cosine transform
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Abstract This paper presents a novel technique for image restoration based on nonlinear interpolative vector quantization (NLIVQ). The algorithm performs nonlinear restoration of diffraction-limited images concurrently with quantization. It is trained on image pairs consisting of an original image and its diffraction-limited counterpart. The discrete cosine transform is used in the codebook design process to control complexity. Simulation results are presented that demonstrate improvements in visual quality and peak signal-to-noise ratio of the restored images.
AbstractList This paper presents a novel technique for image restoration based on nonlinear interpolative vector quantization (NLIVQ). The algorithm performs nonlinear restoration of diffraction-limited images concurrently with quantization. It is trained on image pairs consisting of an original image and its diffraction-limited counterpart. The discrete cosine transform is used in the codebook design process to control complexity. Simulation results are presented that demonstrate improvements in visual quality and peak signal-to-noise ratio of the restored images.
This paper presents a novel technique for image restoration based on nonlinear interpolative vector quantization (NLIVQ). The algorithm performs nonlinear restoration of diffraction-limited images concurrently with quantization. It is trained on image pairs consisting of an original image and its diffraction-limited counterpart. The discrete cosine transform is used in the codebook design process to control complexity. Simulation results are presented that demonstrate improvements in visual quality and peak signal-to-noise ratio of the restored images
Author Bilgin, A.
Nadar, M.S.
Sheppard, D.G.
Hunt, B.R.
Marcellin, M.W.
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Cites_doi 10.1109/5.237540
10.1109/ISIT.1993.748485
10.1007/978-1-4615-3626-0
10.1117/12.205983
10.1007/978-3-642-58216-5
10.1002/ima.1850060403
10.1109/ICIP.1994.413563
10.1109/PACRIM.1993.407222
10.1080/713818946
10.1109/TCOM.1980.1094577
10.1109/34.391396
10.1109/21.256539
10.1364/JOSAA.5.000666
10.1243/PIME_PROC_1994_208_166_02
10.1117/12.50302
10.1109/26.61363
10.1364/JOSAA.10.002265
10.1109/ACSSC.1994.471545
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Issue 1
Keywords Interpolation
Vector quantization
Image processing
Image restoration
Non linear processing
Algorithm
Cosine transform
Language English
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References ref13
ref12
ref14
ref20
ref11
ref10
katsaggelos (ref16) 1991
ref21
goodman (ref17) 1968
andrews (ref15) 1977
ref2
ref1
ref19
ref18
ref8
ref7
ref4
ref3
ref6
ref5
adah (ref9) 1994
References_xml – year: 1977
  ident: ref15
  publication-title: Digital Image Restoration
  contributor:
    fullname: andrews
– ident: ref2
  doi: 10.1109/5.237540
– ident: ref14
  doi: 10.1109/ISIT.1993.748485
– ident: ref1
  doi: 10.1007/978-1-4615-3626-0
– ident: ref6
  doi: 10.1117/12.205983
– year: 1991
  ident: ref16
  publication-title: Digital Image Restoration
  doi: 10.1007/978-3-642-58216-5
  contributor:
    fullname: katsaggelos
– ident: ref18
  doi: 10.1002/ima.1850060403
– ident: ref5
  doi: 10.1109/ICIP.1994.413563
– ident: ref7
  doi: 10.1109/PACRIM.1993.407222
– ident: ref21
  doi: 10.1080/713818946
– ident: ref13
  doi: 10.1109/TCOM.1980.1094577
– ident: ref4
  doi: 10.1109/34.391396
– ident: ref3
  doi: 10.1109/21.256539
– ident: ref20
  doi: 10.1364/JOSAA.5.000666
– ident: ref10
  doi: 10.1243/PIME_PROC_1994_208_166_02
– ident: ref12
  doi: 10.1117/12.50302
– ident: ref11
  doi: 10.1109/26.61363
– ident: ref19
  doi: 10.1364/JOSAA.10.002265
– year: 1968
  ident: ref17
  publication-title: Introduction to Fourier Optics
  contributor:
    fullname: goodman
– ident: ref8
  doi: 10.1109/ACSSC.1994.471545
– start-page: 722
  year: 1994
  ident: ref9
  article-title: Blockwise segmentation via vector quantization for medical image analysis
  publication-title: Proc Sixteenth Int Conf IEEE Engineering in Medicine and Biology Society Engineering Advances New Opportunities for Biomedical Engineering
  contributor:
    fullname: adah
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Snippet This paper presents a novel technique for image restoration based on nonlinear interpolative vector quantization (NLIVQ). The algorithm performs nonlinear...
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SubjectTerms Applied sciences
Discrete cosine transforms
Exact sciences and technology
Image coding
Image processing
Image restoration
Information, signal and communications theory
Interpolation
Kernel
Optical distortion
Optical signal processing
Signal processing
Signal processing algorithms
Telecommunications and information theory
Vector quantization
Title A vector quantizer for image restoration
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