IEICE TRANSACTIONS on Fundamentals
Enlargement for Images with Gaussian Noise by Embedded Filtering in the LP Algorithm
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E89-A No.8 pp.2129-2139
- Publication Date
- 2006/08/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e89-a.8.2129
- Type of Manuscript
- Special Section PAPER (Special Section on Papers Selected from the 20th Symposium on Signal Processing)
- Category
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Shuai YUAN, Akira TAGUCHI, Masahide ABE, Masayuki KAWAMATA, "Enlargement for Images with Gaussian Noise by Embedded Filtering in the LP Algorithm" in IEICE TRANSACTIONS on Fundamentals,
vol. E89-A, no. 8, pp. 2129-2139, August 2006, doi: 10.1093/ietfec/e89-a.8.2129.
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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e89-a.8.2129/_p
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@ARTICLE{e89-a_8_2129,
author={Shuai YUAN, Akira TAGUCHI, Masahide ABE, Masayuki KAWAMATA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Enlargement for Images with Gaussian Noise by Embedded Filtering in the LP Algorithm},
year={2006},
volume={E89-A},
number={8},
pages={2129-2139},
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.},
keywords={},
doi={10.1093/ietfec/e89-a.8.2129},
ISSN={1745-1337},
month={August},}
Copy
TY - JOUR
TI - Enlargement for Images with Gaussian Noise by Embedded Filtering in the LP Algorithm
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2129
EP - 2139
AU - Shuai YUAN
AU - Akira TAGUCHI
AU - Masahide ABE
AU - Masayuki KAWAMATA
PY - 2006
DO - 10.1093/ietfec/e89-a.8.2129
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E89-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2006
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.
ER -
English
