Neural network modelled POCS method for removing blocking effect

Sung Wai Hong; Yuk Hee Chan; Wan Chi Siu

Neural network modelled POCS method for removing blocking effect

Sung Wai Hong, Yuk Hee Chan, Wan Chi Siu

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	IEEE International Conference on Neural Networks - Conference Proceedings
Publisher	IEEE
Pages	1422-1425
Number of pages	4
Publication status	Published - 1 Dec 1995
Event	Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6) - Perth, Australia Duration: 27 Nov 1995 → 1 Dec 1995

Conference

Conference	Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6)
Country/Territory	Australia
City	Perth
Period	27/11/95 → 1/12/95

ASJC Scopus subject areas

Software

Cite this

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title = "Neural network modelled POCS method for removing blocking effect",

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.",

author = "Hong, {Sung Wai} and Chan, {Yuk Hee} and Siu, {Wan Chi}",

year = "1995",

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booktitle = "IEEE International Conference on Neural Networks - Conference Proceedings",

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note = "Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6) ; Conference date: 27-11-1995 Through 01-12-1995",

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AU - Hong, Sung Wai

AU - Chan, Yuk Hee

AU - Siu, Wan Chi

PY - 1995/12/1

Y1 - 1995/12/1

N2 - 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.

AB - 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.

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M3 - Conference article published in proceeding or book

SP - 1422

EP - 1425

BT - IEEE International Conference on Neural Networks - Conference Proceedings

PB - IEEE

T2 - Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6)

Y2 - 27 November 1995 through 1 December 1995

ER -

Neural network modelled POCS method for removing blocking effect

Abstract

Conference

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