@inproceedings{25234ac8d3e5470ab1fa5195c191e287,
title = "Anisotropic diffusion-based denoising using residual image for preservation of image details",
abstract = "This paper presents an anisotropic diffusion-based approach to noise reduction, which utilizes the residual image in the wavelet domain to improve the quality of image detail preservation. In the experimental results, the proposed method improves the quality of denoised images by increasing peak signal-to-noise ratio up to 1.17 dB and structural similarity index up to 0.026.",
keywords = "Anisotropic diffusion, Image denoising, Noise reduction, residual image",
author = "Gyujin Bae and Cho, \{Sung In\} and Kim, \{Young Hwan\}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 11th International SoC Design Conference, ISOCC 2014 ; Conference date: 03-11-2014 Through 06-11-2014",
year = "2015",
month = apr,
day = "16",
doi = "10.1109/ISOCC.2014.7087590",
language = "English",
series = "ISOCC 2014 - International SoC Design Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "52--53",
booktitle = "ISOCC 2014 - International SoC Design Conference",
address = "United States",
}