Image reconstruction with two-dimensional piecewise polynomial convolution

Stephen E. Reichenbach; Frank Geng

Image reconstruction with two-dimensional piecewise polynomial convolution

Stephen E. Reichenbach, Frank Geng

Computer Science and Engineering

Research output: Contribution to journal › Conference article › peer-review

3 Scopus citations

Abstract

This paper describes two-dimensional, non-separable, piecewise polynomial convolution for image reconstruction. We investigate a two-parameter kernel with support [-2,2]×[-2,2] and constrained for smooth reconstruction. Performance reconstructing a sampled random Markov field is superior to the traditional one-dimensional cubic convolution algorithm.

Original language	English (US)
Pages (from-to)	3237-3240
Number of pages	4
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	6
State	Published - 1999
Event	Proceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99) - Phoenix, AZ, USA Duration: Mar 15 1999 → Mar 19 1999

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Cite this

@article{bde9219ebffa4c7e84754ef130c80977,

title = "Image reconstruction with two-dimensional piecewise polynomial convolution",

abstract = "This paper describes two-dimensional, non-separable, piecewise polynomial convolution for image reconstruction. We investigate a two-parameter kernel with support [-2,2]×[-2,2] and constrained for smooth reconstruction. Performance reconstructing a sampled random Markov field is superior to the traditional one-dimensional cubic convolution algorithm.",

author = "Reichenbach, {Stephen E.} and Frank Geng",

year = "1999",

language = "English (US)",

volume = "6",

pages = "3237--3240",

journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

issn = "0736-7791",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99) ; Conference date: 15-03-1999 Through 19-03-1999",

}

TY - JOUR

T1 - Image reconstruction with two-dimensional piecewise polynomial convolution

AU - Reichenbach, Stephen E.

AU - Geng, Frank

PY - 1999

Y1 - 1999

N2 - This paper describes two-dimensional, non-separable, piecewise polynomial convolution for image reconstruction. We investigate a two-parameter kernel with support [-2,2]×[-2,2] and constrained for smooth reconstruction. Performance reconstructing a sampled random Markov field is superior to the traditional one-dimensional cubic convolution algorithm.

AB - This paper describes two-dimensional, non-separable, piecewise polynomial convolution for image reconstruction. We investigate a two-parameter kernel with support [-2,2]×[-2,2] and constrained for smooth reconstruction. Performance reconstructing a sampled random Markov field is superior to the traditional one-dimensional cubic convolution algorithm.

UR - http://www.scopus.com/inward/record.url?scp=0032672172&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032672172&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0032672172

SN - 0736-7791

VL - 6

SP - 3237

EP - 3240

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

T2 - Proceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99)

Y2 - 15 March 1999 through 19 March 1999

ER -

Image reconstruction with two-dimensional piecewise polynomial convolution

Abstract

ASJC Scopus subject areas

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