SSIM image quality metric for denoised images

Peter Ndajah, Hisakazu Kikuchi, Masahiro Yukawa, Hidenori Watanabe, Shogo Muramatsu

研究成果: Conference contribution

16 引用 (Scopus)

抜粋

The mean square error (MSE) and its related metrics such as peak signal to noise ratio (PSNR), root mean square error (RMSE), mean absolute error (MAE), and signal to noise ratio (SNR) have been the basis for mathematically defined image quality measurement for a long time. These methods are all based on the MSE. Denoisng quality has also been traditionally measured in terms of the MSE or its derivatives. But none of these metrics takes the structural fidelity of the image into account. Here, we investigate the structural changes that occur during the denoising process. In particular, we ascertain the structural fidelity of TV-denoised images.

元の言語English
ホスト出版物のタイトルAdvances in Visualization, Imaging and Simulation - 3rd WSEAS International Conference on Visualization, Imaging and Simulation, VIS'10
ページ53-57
ページ数5
出版物ステータスPublished - 2010 12 1
外部発表Yes
イベント3rd WSEAS International Conference on Visualization, Imaging and Simulation, VIS'10 - Faro, Portugal
継続期間: 2010 11 32010 11 5

出版物シリーズ

名前International Conference on Visualization, Imaging and Simulation - Proceedings

Other

Other3rd WSEAS International Conference on Visualization, Imaging and Simulation, VIS'10
Portugal
Faro
期間10/11/310/11/5

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Modelling and Simulation

フィンガープリント SSIM image quality metric for denoised images' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Ndajah, P., Kikuchi, H., Yukawa, M., Watanabe, H., & Muramatsu, S. (2010). SSIM image quality metric for denoised images. : Advances in Visualization, Imaging and Simulation - 3rd WSEAS International Conference on Visualization, Imaging and Simulation, VIS'10 (pp. 53-57). (International Conference on Visualization, Imaging and Simulation - Proceedings).