Digital image noise estimation using DWT coefficients
Noise type and strength estimation are important in many image processing applications like
denoising, compression, video tracking, etc. There are many existing methods for estimation …
denoising, compression, video tracking, etc. There are many existing methods for estimation …
Artifact-and content-specific quality assessment for MRI with image rulers
In clinical practice MR images are often first seen by radiologists long after the scan. If image
quality is inadequate either patients have to return for an additional scan, or a suboptimal …
quality is inadequate either patients have to return for an additional scan, or a suboptimal …
Improved Noise2Noise denoising with limited data
AF Calvarons - Proceedings of the IEEE/CVF Conference …, 2021 - openaccess.thecvf.com
Deep learning methods have proven to be very effective for the task of image denoising
even when clean reference images are not available. In particular, Noise2Noise, which …
even when clean reference images are not available. In particular, Noise2Noise, which …
A fast and accurate prediction of distortions in DCT-based lossy image compression
Since the number of acquired images and their size have the tendency to increase, their
lossy compression is widely applied for their storage, transfer, and dissemination …
lossy compression is widely applied for their storage, transfer, and dissemination …
Learning-based noise component map estimation for image denoising
SG Bahnemiri, M Ponomarenko… - IEEE Signal Processing …, 2022 - ieeexplore.ieee.org
A problem of image denoising, when images are corrupted by a non-stationary noise, is
considered in this paper. Since, in practice, no a priori information on noise is available …
considered in this paper. Since, in practice, no a priori information on noise is available …
Noise in digital image processing: A review study
RA Al Mudhafar, NK El Abbadi - 2022 3rd Information …, 2022 - ieeexplore.ieee.org
We are awash with images. The quality of an image is greatly impacted by image noise,
making it difficult to extract, analyze, recognize, and make quantitative measurements of …
making it difficult to extract, analyze, recognize, and make quantitative measurements of …
A single-image noise estimation algorithm based on pixel-level low-rank low-texture patch and principal component analysis
Noise level is an important parameter for image denoising in many image-processing
applications. We propose a noise estimation algorithm based on pixel-level low-rank, low …
applications. We propose a noise estimation algorithm based on pixel-level low-rank, low …
Flipped structured matrix-sequences in image deblurring with reflective and anti-reflective boundary conditions
P Ferrari, I Furci, S Serra-Capizzano - Numerical Algorithms, 2024 - Springer
Motivated by the recent work (Donatelli et al. Electron. Trans. Numer. Anal. 59, 157-178
2023) on a preconditioned MINRES for flipped linear systems in imaging with Dirichlet …
2023) on a preconditioned MINRES for flipped linear systems in imaging with Dirichlet …
On noise-sensitive automatic tuning of gate-defined sensor dots
F Hader, J Vogelbruch, S Humpohl… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In gate-defined quantum dot systems, the conductance change of electrostatically coupled
sensor dots allows the observation of the quantum dots' charge and spin states. Therefore …
sensor dots allows the observation of the quantum dots' charge and spin states. Therefore …
Robot navigation using modified SLAM procedure based on depth image reconstruction
A Zelenskii, N Gapon, V Voronin… - Artificial Intelligence …, 2021 - spiedigitallibrary.org
In modern mobile robots, technologies are used that make it possible to build the most
optimal path for its movement. This uses simultaneous navigation and mapping techniques …
optimal path for its movement. This uses simultaneous navigation and mapping techniques …