Results 71 to 80 of about 116,500 (328)
Uniform In‐Plane Growth of Large‐Area Ultrathin Zn2(benzimidazole)4 Membrane
Advanced Functional Materials, EarlyView.A multicycle, ultradilute exposure strategy enables uniform in‐plane growth of ultrathin Zn2(benzimidazole)4 membranes on graphene, suppressing bulk nucleation and defects. The resulting centimeter‐scale films deliver high H2/CO2 separation performance, and are highly reproducible.
Shuqing Song +5 more
wiley +1 more source
ANALYSIS AND PREDICTION OF FILTERING EFFICIENCY USING NO-REFERENCE IMAGE VISUAL QUALITY METRICS
Радіоелектронні і комп'ютерні системи, 2018 Images are subject to noise during acquisition, transmission and processing. Image denoising is highly desirable, not only to provide better visual quality, but also to improve performance of the subsequent operations such as compression, segmentation ...
Андрей Сергеевич Рубель +1 more
doaj +1 more source
A Second-Order Method for Removing Mixed Noise from Remote Sensing Images
Sensors, 2023 Remote sensing image denoising is of great significance for the subsequent use and research of images. Gaussian noise and salt-and-pepper noise are prevalent noises in images.
Ying Zhou +6 more
doaj +1 more source
, 2006 The paper is concerned with the problem of image denoising for the case of grey-scale images. Such images consist of a finite number of regions with smooth boundaries and the image value is assumed piecewise constant within each region. New method of image denoising is proposed which is adaptive (assumption free) to the number of regions and smoothness
Polzehl, Jörg, Spokoiny, Vladimir
openaire +1 more source
Wavelet Bayesian Network Image Denoising [PDF]
IEEE Transactions on Image Processing, 2013 From the perspective of the Bayesian approach, the denoising problem is essentially a prior probability modeling and estimation task. In this paper, we propose an approach that exploits a hidden Bayesian network, constructed from wavelet coefficients, to model the prior probability of the original image.
Jinn, Ho, Wen-Liang, Hwang
openaire +2 more sources
A Synovium‐on‐Chip Platform to Study Multicellular Interactions in Arthritis
Advanced Healthcare Materials, EarlyView.The Synovium‐on‐Chip comprises a thin microporous PDMS membrane to support co‐culture of fibroblast‐like synoviocytes (FLS), THP‐1‐derived macrophages, and endothelial cells, enabling real‐time analysis of synovial‐vascular interactions. FLS migration through the pores drives endothelial remodeling, while TNF‐α stimulation induces robust inflammatory ...
Laurens R. Spoelstra +8 more
wiley +1 more source
Multi-task learning with self-learning weight for image denoising
Journal of Engineering and Applied ScienceBackground Image denoising technology removes noise from the corrupted image by utilizing different features between image and noise. Convolutional neural network (CNN)-based algorithms have been the concern of the recent progress on diverse image ...
Qian Xiang, Yong Tang, Xiangyang Zhou
doaj +1 more source
A New Nonlinear Diffusion Equation Model for Noisy Image Segmentation
Advances in Mathematical Physics, 2016 Image segmentation and image denoising are two important and fundamental topics in the field of image processing. Geometric active contour model based on level set method can deal with the problem of image segmentation, but it does not consider the ...
Bo Chen +5 more
doaj +1 more source
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
Patched Denoising Diffusion Models For High-Resolution Image Synthesis [PDF]
, 2023 Zheng Ding +3 more
openalex +1 more source