Results 41 to 50 of about 2,678,151 (282)

Manifold Learning via the Principle Bundle Approach

Frontiers in Applied Mathematics and Statistics, 2018
In this paper, we propose a novel principal bundle model and apply it to the image denoising problem. This model is based on the fact that the patch manifold admits canonical groups actions such as rotation.
Chen-Yun Lin, Arin Minasian, Xin Jessica Qi, Hau-Tieng Wu, Hau-Tieng Wu, Hau-Tieng Wu   +5 more
doaj   +1 more source

Efficient and Robust Non-Local Means Denoising Methods for Biomedical Images [PDF]

ITM Web of Conferences, 2019
Denoising is an important step to improve image quality and to increase the performance of image analysis. However, conventional partial differential equation based image denoising methods, especially total variation functional minimization techniques ...
Judson Matt, Viger Troy, Lim Hyeona
doaj   +1 more source

Multi-Scale Attention-Guided Non-Local Network for HDR Image Reconstruction

Sensors, 2022
High-dynamic-range (HDR) image reconstruction methods are designed to fuse multiple Low-dynamic-range (LDR) images captured with different exposure values into a single HDR image.
Howoon Yoon, S. M. Nadim Uddin, Yong Ju Jung   +2 more
doaj   +1 more source

Skin cancer classification using non-local means denoising and sparse dictionary learning based CNN

Journal of Electrical Systems and Information Technology
Skin conditions are becoming increasingly prevalent across the world in current times. With the rise in dermatological disorders, there is a need for computerized techniques that are completely noninvasive to patients’ skin.
Apeksha Pandey, M. Teja, Parul Sahare, Vipin Kamble, M. Parate, Mohammad Farukh Hashmi   +5 more
semanticscholar   +1 more source

ij-nl-means: Non local means 1.4.3

, 2015
Non local means filter for ...
Thorsten Wagner
core   +1 more source

Non-mechanical beam steering: ways and means [PDF]

, 2018
One of the very useful aspects of a laser is its well-defined beam, delivering high intensity to a defined location. Directing that beam and specifying the location is generally done with adjustable mirrors. Directing the beam in time varying manner most
Benton, David
core   +1 more source

Enhancing Medical Image Denoising: A Hybrid Approach Incorporating Adaptive Kalman Filter and Non-Local Means with Latin Square Optimization

Electronics
Medical image denoising plays a critical role in enhancing the quality of diagnostic imaging, where noise reduction without compromising image details is paramount.
Mehdi Taassori, B. Vizvári
semanticscholar   +1 more source

ij-nl-means: Non local means 1.4.6

, 2016
Non local means filter for ...
Thorsten Wagner, Pascal Behnel
core   +1 more source

An improved non-local means algorithm for CT image denoising

Multimedia Systems
The non-local means (NLM) algorithm is a classical image denoising algorithm. However, the denoising effect of the NLM algorithm is easily affected by the noise level of neighboring pixels, which leads to poor denoising effect for high noise level image.
Huihua Kong, Wenbo Gao, Xiaoshuang Du, Yunxia Di   +3 more
semanticscholar   +1 more source

Non-Local Means Image Denoising Using Shapiro-Wilk Similarity Measure

IEEE Access, 2018
Most of the real-time image acquisitions produce noisy measurements of the unknown true images. Image denoising is the post-acquisition technique to improve the signal-to-noise ratio of the acquired images.
W. Yamanappa, P. V. Sudeep, M. K. Sabu, Jeny Rajan   +3 more
doaj   +1 more source