Local Signal-Dependent Noise Estimation on Texture Domain for CFA Raw Images

DOI

説明

In this paper, we propose a method of signal-dependent noise estimation and denoising that operates on the CFA raw image. The proposed method effectively deals with signal dependent noise by estimating and denoising noise on the texture domain in a CFA LR component-wise and localized manner. The proposed method is practically evaluated on a simulated end-to-end imaging pipeline. The experimental results indicate that the proposed method indeed efficiently removes signal-dependent noise.

収録刊行物

  • IEICE Proceeding Series

    IEICE Proceeding Series 61 371-374, 2016-07-10

    The Institute of Electronics, Information and Communication Engineers

キーワード

詳細情報 詳細情報について

  • CRID
    1391975831221735936
  • NII論文ID
    230000012189
  • DOI
    10.34385/proc.61.m3-5-5
  • ISSN
    21885079
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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