An Evaluation of Potential Functions for Regularized Image Deblurring

2014 ◽  
pp. 150-158 ◽  
Author(s):  
Buda Bajić ◽  
Joakim Lindblad ◽  
Nataša Sladoje
Keyword(s):  
Image Deblurring ◽  
Potential Functions

Sparsity and Smoothing Multi-Regularization Constraints for Blind Image Deblurring

2013 ◽  
Vol 24 (5) ◽  
pp. 1143-1154 ◽  
Author(s):  
Shu TANG ◽  
Wei-Guo GONG ◽  
Jian-Hua ZHONG
Keyword(s):  
Image Deblurring ◽  
Blind Image Deblurring ◽  
Blind Image

Introduction

2018 ◽  
Author(s):  
Tim Lewens
Keyword(s):  
Social Sciences ◽  
Human Nature ◽  
Potential Functions ◽  
Human Psychology ◽  
Human Culture ◽  
The Third ◽  
Current State ◽  
Large Numbers ◽  
The Social ◽  
Compare And Contrast

Many evolutionary theorists have enthusiastically embraced human nature, but large numbers of evolutionists have also rejected it. It is also important to recognize the nuanced views on human nature that come from the side of the social sciences. This introduction provides an overview of the current state of the human nature debate, from the anti-essentialist consensus to the possibility of a Gray’s Anatomy of human psychology. Three potential functions for the notion of species nature are identified. The first is diagnostic, assigning an organism to the correct species. The second is species-comparative, allowing us to compare and contrast different species. The third function is contrastive, establishing human nature as a foil for human culture. The Introduction concludes with a brief synopsis of each chapter.

scholarly journals Genome-wide identification of the CCCH gene family in rose (Rosa chinensis Jacq.) reveals its potential functions

2021 ◽  
Vol 35 (1) ◽  
pp. 517-526
Author(s):  
Cai-hua Li ◽  
Qing-xi Fang ◽  
Wen-Jing Zhang ◽  
Yu-huan Li ◽  
Jin-zhu Zhang ◽  
...  
Keyword(s):  
Gene Family ◽  
Potential Functions ◽  
Rosa Chinensis ◽  
Genome Wide

scholarly journals A Lightweight Fusion Distillation Network for Image Deblurring and Deraining

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5312
Author(s):  
Yanni Zhang ◽  
Yiming Liu ◽  
Qiang Li ◽  
Jianzhong Wang ◽  
Miao Qi ◽  
...  
Keyword(s):  
Deep Learning ◽  
Image Deblurring ◽  
Image Features ◽  
Image Feature ◽  
Model Complexity ◽  
Small Scale ◽  
Feature Maps ◽  
Learning Framework ◽  
Channel Information ◽  
Scale Spaces

Recently, deep learning-based image deblurring and deraining have been well developed. However, most of these methods fail to distill the useful features. What is more, exploiting the detailed image features in a deep learning framework always requires a mass of parameters, which inevitably makes the network suffer from a high computational burden. We propose a lightweight fusion distillation network (LFDN) for image deblurring and deraining to solve the above problems. The proposed LFDN is designed as an encoder–decoder architecture. In the encoding stage, the image feature is reduced to various small-scale spaces for multi-scale information extraction and fusion without much information loss. Then, a feature distillation normalization block is designed at the beginning of the decoding stage, which enables the network to distill and screen valuable channel information of feature maps continuously. Besides, an information fusion strategy between distillation modules and feature channels is also carried out by the attention mechanism. By fusing different information in the proposed approach, our network can achieve state-of-the-art image deblurring and deraining results with a smaller number of parameters and outperform the existing methods in model complexity.

scholarly journals TonB‐dependent transporters in the Bacteroidetes: Unique domain structures and potential functions

2021 ◽  
Author(s):  
Rebecca M. Pollet ◽  
Lauryn M. Martin ◽  
Nicole M. Koropatkin
Keyword(s):  
Potential Functions ◽  
Domain Structures ◽  
Unique Domain

scholarly journals Determination of differential pencils with impulse from interior spectral data

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Yongxia Guo ◽  
Guangsheng Wei ◽  
Ruoxia Yao
Keyword(s):  
Spectral Data ◽  
Interior Point ◽  
Potential Functions ◽  
Inverse Spectral Problems ◽  
Spectral Problems ◽  
Inverse Spectral ◽  
Differential Pencils ◽  
Second Spectrum

Abstract In this paper, we are concerned with the inverse spectral problems for differential pencils defined on $[0,\pi ]$ [ 0 , π ] with an interior discontinuity. We prove that two potential functions are determined uniquely by one spectrum and a set of values of eigenfunctions at some interior point $b\in (0,\pi )$ b ∈ ( 0 , π ) in the situation of $b=\pi /2$ b = π / 2 and $b\neq \pi /2$ b ≠ π / 2 . For the latter, we need the knowledge of a part of the second spectrum.

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