Neural network modelled POCS method for removing blocking effect

Sung Wai Hong, Yuk Hee Chan, Wan Chi Siu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

6 Citations (Scopus)

Abstract

This paper proposes a new method for real-time realization of the blocking effect elimination. This is achieved by training a feed-forward single-layer neural network (FFSLN) to restore block boundaries of JPEG encoded images. The reconstructed image of the iterative projection onto convex sets (POCS) method instead of the original image is chosen as the target output in this proposed method. Computer simulation result demonstrates the superiority of the new method as compared with the original POCS iterative recovery method.
Original languageEnglish
Title of host publicationIEEE International Conference on Neural Networks - Conference Proceedings
PublisherIEEE
Pages1422-1425
Number of pages4
Publication statusPublished - 1 Dec 1995
EventProceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6) - Perth, Australia
Duration: 27 Nov 19951 Dec 1995

Conference

ConferenceProceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6)
CountryAustralia
CityPerth
Period27/11/951/12/95

ASJC Scopus subject areas

  • Software

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