Results 51 to 60 of about 9,957 (160)
Recursive implementation of the Gaussian filter
Signal Processing, 1995 Abstract In this paper we propose a recursive implementation of the Gaussian filter. This implementation yields an infinite impulse response filter that has six MADDs per dimension independent of the value of σ in the Gaussian kernel. In contrast to the Deriche implementation (1987), the coefficients of our recursive filter have a simple, closed-form
Ian T. Young, Lucas J. van Vliet
openaire +3 more sources
An efficient method to remove mixed Gaussian and random-valued impulse noise
PLoS ONE, 2022 Mixed Gaussian and Random-valued impulse noise (RVIN) removal is still a big challenge in the field of image denoising. Existing denoising algorithms have defects in denoising performance and computational complexity.
Mengdi Xing, Guorong Gao
doaj
Probability hypothesis density filtering for real-time traffic state estimation and prediction [PDF]
, 2013 The probability hypothesis density (PHD) methodology is widely used by the research community for the purposes of multiple object tracking. This problem consists in the recursive state estimation of several targets by using the information coming from an
El Faouzi, Nour Eddin +9 more
core +1 more source
IET Computer Vision, 2019 Edge‐preserving filters have been applied to Multi‐Scale Decomposition (MSD) for fusion of infrared and visible images. Traditional edge‐preserving MSDs may hardly make satisfied structural separation from details to cause fusion performance degradation.
Changda Xing +3 more
doaj +1 more source
Mathematics, 2020 All around the world, partial or total blindness has become a direct consequence of diabetes and hypertension. Visual disorders related to these diseases require automatic and specialized methods to detect early malformations, artifacts, or irregular ...
Maria de Jesus Estudillo-Ayala +5 more
doaj +1 more source
Pose Estimation of Mobile Robots Based on Maximum Correntropy Under Kalman Filtering Framework
Taiyuan Ligong Daxue xuebao, 2021 To address the problem of low pose estimation accuracy of traditional filtering algorithm for mobile robots in non-Gaussian noises, a pose estimation algorithm based on the combination of iterative unscented Kalman filter (IUKF) and maximum correntropy ...
Zhipeng LI +3 more
doaj +1 more source
State-Space Inference and Learning with Gaussian Processes [PDF]
, 2010 18.10.13 KB. Ok to add author version to spiral, authors hold copyright.State-space inference and learning with Gaussian processes (GPs) is an unsolved problem.
Rasmussen, Carl E +5 more
core
Gaussian mixture variational autoencoder for collaborative filtering
四川大学学报. 自然科学版, 2023 Currently, machine learning-based detectors are widely used to handle millions of Android malware, but they often suffer from poor anti-adversarial attack abilities.
ZHANG Yu-Ke, WANG Jun-Feng
doaj +2 more sources
Optimal Filter Estimation for Lucas-Kanade Optical Flow
Sensors, 2012 Optical flow algorithms offer a way to estimate motion from a sequence of images. The computation of optical flow plays a key-role in several computer vision applications, including motion detection and segmentation, frame interpolation, three ...
Remus Brad, Nusrat Sharmin
doaj +1 more source
An Improved Image Filtering Algorithm for Mixed Noise
Applied Sciences, 2021 In recent years, image filtering has been a hot research direction in the field of image processing. Experts and scholars have proposed many methods for noise removal in images, and these methods have achieved quite good denoising results.
Chun He, Ke Guo, Huayue Chen
doaj +1 more source