RS Thakur, RN Yadav, L Gupta - IET Image Processing, 2019 - Wiley Online Library
Convolutional neural networks (CNNs) are deep neural networks that can be trained on large databases and show outstanding performance on object classification, segmentation …
Z Kong, X Yang, L He - arXiv preprint arXiv:2011.03462, 2020 - arxiv.org
Filtering multi-dimensional images such as color images, color videos, multispectral images and magnetic resonance images is challenging in terms of both effectiveness and efficiency …
A Makandar, S Kaman - International Conference on DATA ANALYTICS & …, 2022 - Springer
Denoising of images is considered to be a crucial preprocessing step in all image processing applications. Although various studies have been conducted in the area of …
This dissertation is comprised of two novel contributions. First, we propose a novel technique to determine the noise-free color at each pixel by estimating the ratio of the red …
Classic denoising algorithms have always suffered from the disadvantage of being slow, even for the famous BM3D. This paper presents a fastst and effective image denoising …