Results 81 to 90 of about 36,871 (305)
, 2011 Matter of discussion in this Ph. D. thesis is SAR (Synthetic Aperture Radar) image denoising. Main elements of innovation are the introduction of SAR-BM3D, a denoising algorithm optimized for SAR data, and the introduction of a benchmark which enables ...
Poderico, Mariana
core
Variance Stabilization for Noisy+Estimate Combination in Iterative Poisson Denoising
, 2016 <p>We denoise Poisson images with an iterative algorithm that progressively improves the effectiveness of variance-stabilizing transformations (VST) for Gaussian denoising filters.
Azzari, Lucio, Foi, Alessandro
core +1 more source
EMD-Based Filtering Using Similarity Measure Between Probability Density Functions of IMFs [PDF]
, 2014 This paper introduces a new signal-filtering which combines the empirical mode decomposition (EMD) and a similarity measure. A noisy signal is adaptively broken down into oscillatory components called intrinsic mode functions (IMFs) by EMD followed by an
DARE, Delphine +4 more
core +1 more source
TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
Advanced Robotics Research, EarlyView.TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince +3 more
wiley +1 more source
, 2007 A new threshold rule for the estimation of a deterministic image immersed in noise is proposed. The full estimation procedure is based on a separable wavelet decomposition of the observed image, and the estimation is improved by introducing the new ...
Olhede, SC
core
Directional edge and texture representations for image processing [PDF]
, 2007 An efficient representation for natural images is of fundamental importance in image processing and analysis. The commonly used separable transforms such as wavelets axe not best suited for images due to their inability to exploit directional ...
Yao, Zhen
core
A Novel Joint Denoising Method for Hydrophone Signal Based on Improved SGMD and WT
SensorsUnderwater acoustic technology as an important means of exploring the oceans is receiving more attention. Denoising for underwater acoustic information in complex marine environments has become a hot research topic.
Tianyu Xing +3 more
doaj +1 more source
Improved Real-time Denoising Method Based on Lifting Wavelet Transform
Measurement Science Review, 2014 Signal denoising can not only enhance the signal to noise ratio (SNR) but also reduce the effect of noise. In order to satisfy the requirements of real-time signal denoising, an improved semisoft shrinkage real-time denoising method based on lifting ...
Liu Zhaohua, Mi Yang, Mao Yuliang
doaj +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Plug-and-Play Priors for Model Based Reconstruction
, 2013 Model-based reconstruction is a powerful framework for solving a variety of inverse problems in imaging. The method works by combining a forward model of the imaging system with a prior model of the image itself, and the reconstruction is then computed ...
Bouman, Charles A. +5 more
core +1 more source