Results 111 to 120 of about 6,876,175 (322)
Blockwise SURE Shrinkage for Non-Local Means
, 2013 In this letter, we investigate the shrinkage problem for the non-local means (NLM) image denoising. In particular, we derive the closed-form of the optimal blockwise shrinkage for NLM that minimizes the Stein's unbiased risk estimator (SURE).
Natarajan, Premkumar +3 more
core +1 more source
TELKOMNIKA Indonesian Journal of Electrical Engineering, 2014 A Mixed Window Shrink and BayesShrink Image Denoising Algorithm Based on Curve let Transform is proposed in this paper. Curve let transform is effective in presenting line and surface property of image. In the proposed algorithm, Curvelet transform is employed for the first stage, then according the theory of image demising method based on Wavelet ...
Zhang Ye, Jia Meng
openaire +1 more source
DCT Image Denoising: a Simple and Effective Image Denoising Algorithm [PDF]
Image Processing On Line, 2011 This work presents a simple but effective denoising algorithm using a local DCT thresholding. This thresholding is applied separately to each color channel after decorrelation. Due to its simplicity and excellent performance, this contribution can be considered as a baseline for comparison and lower bound of performance for newly developed techniques.
Guoshen Yu, Guillermo Sapiro
openaire +2 more sources
A Scalable Perovskite Platform With Multi‐State Photoresponsivity for In‐Sensor Saliency Detection
Advanced Materials, EarlyView.A scalable in‐sensor computing platform (32 × 32 array) with ultra‐low variability is developed by incorporating ferroelectric copolymers into halide perovskite thin films. These devices achieve 1000 programmable photoresponsivity states and high thermal reliability.
Xuechao Xing +10 more
wiley +1 more source
Large Scale Variational Bayesian Inference for Structured Scale Mixture Models [PDF]
, 2012 Natural image statistics exhibit hierarchical dependencies across multiple scales. Representing such prior knowledge in non-factorial latent tree models can boost performance of image denoising, inpainting, deconvolution or reconstruction substantially ...
Ko, Young Jun, Seeger, Matthias
core +2 more sources
Nonlocal Adaptive Image Denoising Model [PDF]
Mathematical Problems in Engineering, 2013 When denoising with the method of Weickert’s anisotropic diffusion equation, the textures and details will be compromised. A fidelity term is added to Weickert’s equation, and the coefficient of fidelity term will vary adaptively with the instant image, which makes the diffusion term and the fidelity term come to a better compromise.
Sun, Xiaoli, Xu, Chen, Li, Min
openaire +1 more source
Advanced Materials Interfaces, EarlyView.Although electrochemical scanning tunneling microscopy provides atomic‐scale access to electrified interfaces, quantitative in situ and operando investigations suffer from drift‐induced distortions. This work introduces the Lattice Fourier Analyzer (LFA), which employs substrate‐anchored affine drift correction in reciprocal space to recover precise ...
Rafał Lewandków +4 more
wiley +1 more source
Fully Symmetric Convolutional Network for Effective Image Denoising
Applied Sciences, 2019 Neural-network-based image denoising is one of the promising approaches to deal with problems in image processing. In this work, a deep fully symmetric convolutional⁻deconvolutional neural network (FSCN) is proposed for image denoising.
Steffi Agino Priyanka, Yuan-Kai Wang
doaj +1 more source
Ductility Tuning via Cluster Network Characteristics of Porous Components
Advanced Materials Technologies, EarlyView.Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba +4 more
wiley +1 more source
Journal of Radiation Research and Applied SciencesIn order to better preserve the details and texture information in the image, a dual scale real image blind denoising algorithm based on partial differential equations is studied.
Yang Liu
doaj +1 more source