Results 101 to 110 of about 512,229 (281)
Multi-Regularization-Constrained Blur Kernel Estimation Method for Blind Motion Deblurring
IEEE Access, 2019 Blur kernel (BK) estimation is the crucial technique to guarantee the success of blind image deblurring. In this paper, we propose a multi-regularization-constrained method to estimate an accurate BK from a single motion-blurred image. First, in order to
Shu Tang +8 more
doaj +1 more source
ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R [PDF]
Kernel smoothing is one of the most widely used non-parametric data smoothing techniques. We introduce a new R package ks for multivariate kernel smoothing.
Tarn Duong
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Carrion ecology: concepts, interdisciplinary synthesis, and perspectives
Biological Reviews, EarlyView.ABSTRACT Carrion is a ubiquitous resource in both terrestrial and aquatic ecosystems, yet it has long been overlooked in ecological research. Over the past two decades, studies on carrion and the many organisms that exploit it have flourished, revealing not only wide‐ranging ecological functions but also significance far beyond ecology.
Marcos Moleón +38 more
wiley +1 more source
Blur adaptation with source and observer methods [PDF]
, 2017 Blur adaptation is the improvement of visual and perceptual performance with time following viewing of a blurred target. It is possible to generate blurred images with two different methods – source and observer methods. This study compared blur adaption
Sarkar, Samrat
core +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT The agri‐food sector, most notably intensive livestock production, stands as a major driver of climate change, prompting a shift towards plant‐based alternative protein production and consumption. Such protein transition is widely recognised as central to the development of an environmentally sustainable food economy.
Francesca Monticone, Antonella Samoggia
wiley +1 more source
Blind Deconvolution for Image Deblurring Based on Edge Enhancement and Noise Suppression
IEEE Access, 2018 This paper denotes to obtain an accuracy blur kernel and a shape image. An efficient method that blind deconvolution for image deblurring based on edge enhancement and noise suppression is proposed. First, we exploited an edge detection method to extract
Chengtao Cai, Haiyang Meng, Qidan Zhu
doaj +1 more source
Image invariants to anisotropic Gaussian blur [PDF]
, 2019 The paper presents a new theory of invariants to Gaussian blur. Unlike earlier methods, the blur kernel may be arbitrary oriented, scaled and elongated.
Kostková, J. (Jitka) +11 more
core +1 more source
Interdisciplinary Materials, EarlyView.Vibrations in matter, from spider webs to molecules, water to flames, share a grammar with music. We propose that creativity emerges when constraints force expansion beyond existing possibilities. Selective imperfection restores balance, enabling invention.
Markus J. Buehler
wiley +1 more source
iMetaOmics, EarlyView.This graphical abstract presents a novel Diet‐Artificial Intelligence (AI)‐intestinal Microbiota–Host Health paradigm integrating microbiota‐centric pathways and an AI‐driven multi‐omics workflow. Diet shapes gut bacteria that regulate intestinal mucosal integrity, immune signaling, and gut–brain neurotransmitters to influence host health.
Tianle He +16 more
wiley +1 more source
Blur kernel estimation in single noisy image deblurring
, 2014 Restoring blurred images is challenging because both the blur kernel and the sharp image are unknown, which makes this problem severely underconstrained.
Sun SJ(孙士洁) +2 more
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