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

Shuai Yuan; Akira Taguchi; Masahide Abe; Masayuki Kawamata

doi:10.1093/ietfec/e89-a.8.2129

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 journal › Article › peer-review

2 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 language	English
Pages (from-to)	2129-2139
Number of pages	11
Journal	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Volume	E89-A
Issue number	8
DOIs	https://doi.org/10.1093/ietfec/e89-a.8.2129
Publication status	Published - 2006 Aug
Externally published	Yes

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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10.1093/ietfec/e89-a.8.2129

Cite this

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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.",

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author = "Shuai Yuan and Akira Taguchi and Masahide Abe and Masayuki Kawamata",

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AU - Yuan, Shuai

AU - Taguchi, Akira

AU - Abe, Masahide

AU - Kawamata, Masayuki

PY - 2006/8

Y1 - 2006/8

N2 - 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.

AB - 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.

KW - Gaussian noise

KW - Image enlargement

KW - Laplacian pyramid

KW - ε-filter

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JF - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

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ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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