Results 31 to 40 of about 28,245 (221)

Infrared imaging enhancement through local window‐based saliency extraction with spatial weight

open access: yesIET Image Processing, 2021
Infrared image enhancement is an effective way to solve contrast reduction or details degradation in infrared imagery. An infrared enhancement approach based on local saliency extraction is proposed here. First, saliency maps are extracted within a local
Tong Li   +4 more
doaj   +1 more source

Toward developing tangling noise removal and blind inpainting mechanism based on total variation in image processing

open access: yesElectronics Letters, 2021
In the field of image processing, tangling noise and artefacts elimination of objects are two essential tasks. Tangling noise and lack of intensity in certain applications also occur at the same time.
Muhammad Ashfaq Khan   +5 more
doaj   +1 more source

Driver activity recognition using spatial‐temporal graph convolutional LSTM networks with attention mechanism

open access: yesIET Intelligent Transport Systems, 2021
Driver activity engagement while driving plays a vital role that leads to negative outcomes of driving safety. To reduce traffic accidents and ensure driving safety, real‐time driver activity recognition architecture is proposed in this study ...
Chaopeng Pan   +4 more
doaj   +1 more source

Learn from Object Counting: Crowd Counting with Meta‐learning

open access: yesIET Image Processing, 2021
The objective of crowd counting is to learn a counter that can estimate the number of people in a single image. So far, most of the proposed work evaluates the crowd density by fitting the constructed density map corresponding to the sample.
Changtong Zan   +4 more
doaj   +1 more source

Texture and exposure awareness based refill for HDRI reconstruction of saturated and occluded areas

open access: yesIET Image Processing, 2021
High‐dynamic‐range image (HDRI) displays scenes as vivid as the real scenes. HDRI can be reconstructed by fusing a set of bracketed‐exposure low‐dynamic‐range images (LDRI).
Jianming Zhou   +3 more
doaj   +1 more source

Keypoint based comprehensive copy‐move forgery detection

open access: yesIET Image Processing, 2021
Verifying the authenticity of a digital image has been challenging problem. The simplest of the image tampering tricks is the copy‐move forgery. In copy‐move forgery copied portion of the image is pasted on another part of the same image.
Anjali Diwan   +3 more
doaj   +1 more source

Evaluating the involvement of autolysosomes in the nuclear translocation of fluorescent proteins

open access: yesFEBS Open Bio, EarlyView.
Endogenously expressed fluorescent proteins can be degraded by autophagy and transported to cell nuclei via the nuclear pore complex. But in some cell lines, for example, HeLa cells which are positive for immunoreactivity of a receptor ligand, such as UCN I, in cell nuclei, fusion of autolysosome with the nuclear envelope is involved in the nuclear ...
Keiichi Ikeda
wiley   +1 more source

Class structure‐aware adversarial loss for cross‐domain human action recognition

open access: yesIET Image Processing, 2021
Cross‐domain action recognition is a challenging vision task due to the domain shift and the absence of labeled data in the target domain. With only labelled source domain and unlabelled target domain data during training, some existing methods rely on ...
Wanjun Chen   +4 more
doaj   +1 more source

Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende   +26 more
wiley   +1 more source

Few‐shot action recognition using task‐adaptive parameters

open access: yesElectronics Letters, 2021
Few‐shot action recognition aims to recognise unseen actions given a few examples. Thus, this letter proposes a model named meta relation network (Meta RN) to address such problem. This model contains two parts: a MetaNet and a relation network. Relation
Pengcheng Zong   +4 more
doaj   +1 more source

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