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

  • YUAN Shuai
    Department of Electronic Engineering, Graduate School of Engineering, Tohoku University
  • TAGUCHI Akira
    Department of Electrical and Electronic Engineering, Musashi Institute of Technology
  • ABE Masahide
    Department of Electronic Engineering, Graduate School of Engineering, Tohoku University
  • KAWAMATA Masayuki
    Department of Electronic Engineering, Graduate School of Engineering, Tohoku University

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抄録

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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参考文献 (14)*注記

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詳細情報 詳細情報について

  • CRID
    1573387452382057216
  • NII論文ID
    110007537917
  • NII書誌ID
    AA10826239
  • ISSN
    09168508
  • 本文言語コード
    en
  • データソース種別
    • CiNii Articles

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