M Shahid, A Rossholm, B Lövström… - EURASIP Journal on …, 2014 - Springer
The field of perceptual quality assessment has gone through a wide range of developments and it is still growing. In particular, the area of no-reference (NR) image and video quality …
Due to the absence of a desirable objective for low-light image enhancement, previous data- driven methods may provide undesirable enhanced results including amplified noise …
While deep convolutional neural networks (CNNs) have achieved impressive success in image denoising with additive white Gaussian noise (AWGN), their performance remains …
Compressed sensing magnetic resonance imaging (CS-MRI) enables fast acquisition, which is highly desirable for numerous clinical applications. This can not only reduce the scanning …
C Yan, T Teng, Y Liu, Y Zhang, H Wang… - ACM Transactions on …, 2021 - dl.acm.org
The difficulty of no-reference image quality assessment (NR IQA) often lies in the lack of knowledge about the distortion in the image, which makes quality assessment blind and …
Compared with traditional seismic noise attenuation algorithms that depend on signal models and their corresponding prior assumptions, removing noise with a deep neural …
H Chung, ES Lee, JC Ye - IEEE Transactions on Medical …, 2022 - ieeexplore.ieee.org
Patient scans from MRI often suffer from noise, which hampers the diagnostic capability of such images. As a method to mitigate such artifacts, denoising is largely studied both within …
X Kang, X Zhang, S Li, K Li, J Li… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
A novel method for anomaly detection in hyperspectral images is proposed. The method is based on two ideas. First, compared with the surrounding background, objects with …
J Xu, L Zhang, D Zhang - Proceedings of the European …, 2018 - openaccess.thecvf.com
Most of existing image denoising methods assume the corrupted noise to be additive white Gaussian noise (AWGN). However, the realistic noise in real-world noisy images is much …