Neural concurrent subsampling and interpolation for images

Jong Ok Kim, Byung Tae Choi, A. Morales, Sung Jea Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper presents a new method for image subsampling and interpolation based on the feedforward neural network (FNN). The proposed technique employs a single FNN with three hidden layers for both subsampling and interpolation, providing the advantages of high speed, parallel processing capability, and good image reproduction quality. Experimental results show that the proposed technique exhibits an increased performance over conventional ones.

Original languageEnglish
Title of host publicationIEEE Region 10 Annual International Conference, Proceedings/TENCON
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1327-1330
Number of pages4
ISBN (Electronic)0780357396, 9780780357396
DOIs
Publication statusPublished - 1999
Event1999 IEEE Region 10 Conference, TENCON 1999 - Cheju Island, Korea, Republic of
Duration: 1999 Sep 151999 Sep 17

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume2
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Other

Other1999 IEEE Region 10 Conference, TENCON 1999
CountryKorea, Republic of
CityCheju Island
Period99/9/1599/9/17

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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    Kim, J. O., Choi, B. T., Morales, A., & Ko, S. J. (1999). Neural concurrent subsampling and interpolation for images. In IEEE Region 10 Annual International Conference, Proceedings/TENCON (pp. 1327-1330). (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON.1999.818674