Enlargement for images with gaussian noise by embedded filtering in the LP algorithm

Shuai Yuan, Akira Taguchi, Masahide Abe, Masayuki Kawamata

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

In this paper, we propose an enlargement method for images with Gaussian noise based on the Laplacian pyramid (LP) representation. Unlike lowpass pre-processing approaches to the LP enlargement method, an embedded approach is used in this paper. Since the amplitude of Gaussian noise signals is smaller than the amplitude of image edge signals in the predicted LP stage, we adopt a modified ε-filter in the proposed LP enlargement algorithm to reduce the Gaussian noise. Experimental results show that the proposed method can obtain high accuracy denoise enlarged images.

Original languageEnglish
Pages (from-to)2129-2139
Number of pages11
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE89-A
Issue number8
DOIs
Publication statusPublished - 2006 Aug

Keywords

  • Gaussian noise
  • Image enlargement
  • Laplacian pyramid
  • ε-filter

ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics

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