A review of image denoising algorithms, with a new one
The search for efficient image denoising methods is still a valid challenge at the crossing of
functional analysis and statistics. In spite of the sophistication of the recently proposed …
functional analysis and statistics. In spite of the sophistication of the recently proposed …
Facial expression recognition using computer vision: A systematic review
Emotion recognition has attracted major attention in numerous fields because of its relevant
applications in the contemporary world: marketing, psychology, surveillance, and …
applications in the contemporary world: marketing, psychology, surveillance, and …
Noise suppression with similarity-based self-supervised deep learning
Image denoising is a prerequisite for downstream tasks in many fields. Low-dose and
photon-counting computed tomography (CT) denoising can optimize diagnostic …
photon-counting computed tomography (CT) denoising can optimize diagnostic …
A non-local algorithm for image denoising
We propose a new measure, the method noise, to evaluate and compare the performance of
digital image denoising methods. We first compute and analyze this method noise for a wide …
digital image denoising methods. We first compute and analyze this method noise for a wide …
[LIBRO][B] Anisotropic diffusion in image processing
J Weickert - 1998 - lpi.tel.uva.es
Partial differential equations (PDEs) have led to an entire new field in image processing and
computer vision. Hundreds of publications have appeared in the last decade, and PDE …
computer vision. Hundreds of publications have appeared in the last decade, and PDE …
[LIBRO][B] Introduction to inverse problems in imaging
Fully updated throughout, with several new chapters, this second edition of Introduction to
Inverse Problems in Imaging guides advanced undergraduate and graduate students in …
Inverse Problems in Imaging guides advanced undergraduate and graduate students in …
Image denoising methods. A new nonlocal principle
The search for efficient image denoising methods is still a valid challenge at the crossing of
functional analysis and statistics. In spite of the sophistication of the recently proposed …
functional analysis and statistics. In spite of the sophistication of the recently proposed …
Mobile computational photography: A tour
The first mobile camera phone was sold only 20 years ago, when taking pictures with one's
phone was an oddity, and sharing pictures online was unheard of. Today, the smartphone is …
phone was an oddity, and sharing pictures online was unheard of. Today, the smartphone is …
BM3D-Net: A convolutional neural network for transform-domain collaborative filtering
D Yang, J Sun - IEEE Signal Processing Letters, 2017 - ieeexplore.ieee.org
Denoising is a fundamental task in image processing with wide applications for enhancing
image qualities. BM3D is considered as an effective baseline for image denoising. Although …
image qualities. BM3D is considered as an effective baseline for image denoising. Although …
Demosaicing: Image reconstruction from color CCD samples
R Kimmel - IEEE Transactions on image processing, 1999 - ieeexplore.ieee.org
A simplified color image formation model is used to construct an algorithm for image
reconstruction from CCD sensors samples. The proposed method involves two successive …
reconstruction from CCD sensors samples. The proposed method involves two successive …