Enlargement for Images with Gaussian Noise by Embedded Filtering in the LP Algorithm

  • Authors:

  • Shuai Yuan;Akira Taguchi;Masahide Abe;Masayuki Kawamata

  • Affiliations:

  • The authors are with the Department of Electronic Engineering, Graduate School of Engineering, Tohoku University, Sendai-shi, 980-8579 Japan. E-mail: yuan@mk.ecei.tohoku.ac.jp,;The author is with the Department of Electrical and Electronic Engineering, Musashi Institute of Technology, Tokyo, 158-8557 Japan.;The authors are with the Department of Electronic Engineering, Graduate School of Engineering, Tohoku University, Sendai-shi, 980-8579 Japan. E-mail: yuan@mk.ecei.tohoku.ac.jp,;The authors are with the Department of Electronic Engineering, Graduate School of Engineering, Tohoku University, Sendai-shi, 980-8579 Japan. E-mail: yuan@mk.ecei.tohoku.ac.jp,

  • Venue:
  • IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
  • Year:
  • 2006

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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.