Results 51 to 60 of about 19,173 (259)
Multistage Progressive Invariant Image-Guided Network for Image Shadow Removal
IEEE AccessShadow removal is essential for improving image visual quality, as shadows often block important details and cause color distortion. At present, most shadow removal models still have clear limitations in handling this task.
Xiujin Zhu +2 more
doaj +1 more source
Tau acetylation at K331 has limited impact on tau pathology in vivo
FEBS Letters, EarlyView.We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto +3 more
wiley +1 more source
A dynamic alignment and illumination‐aware convolution for shadow removal
IET Image ProcessingShadow removal is a challenging task because the variety of shadows is influenced by surface texture and lighting. This paper proposes a dynamic alignment and illumination‐aware convolution (DAIC), which consists of a Feature Alignment Module (FAM) and a
Xingqi Wang +4 more
doaj +1 more source
Removing Shadows from Images [PDF]
, 2002 Illumination conditions cause problems for many computer vision algorithms. In particular, shadows in an image can cause segmentation, tracking, or recognition algorithms to fail. In this paper we propose a method to process a 3-band colour image to locate, and subsequently remove shadows.
Finlayson, Graham D. +2 more
openaire +2 more sources
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
Remote Sensing, 2022 Due to imaging and lighting directions, shadows are inevitably formed in unmanned aerial vehicle (UAV) images. This causes shadowed regions with missed and occluded information, such as color and texture details.
Xiaoxia Liu +3 more
doaj +1 more source
Shadow Image Enlargement Distortion Removal
CoRR, 2021 This project aims to adopt preprocessing operations to get less distortions for shadow image enlargement. The preprocessing operations consists of three main steps: first enlarge the original shadow image by using any kind of interpolation methods, second apply average filter to the enlargement image and finally apply the unsharp filter to the previous
Raid R. Al-Nima +3 more
openaire +2 more sources
FEBS Letters, EarlyView.Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure +3 more
wiley +1 more source
Image Shadow Removal Using End-to-End Deep Convolutional Neural Networks
Applied Sciences, 2019 Image degradation caused by shadows is likely to cause technological issues in image segmentation and target recognition. In view of the existing shadow removal methods, there are problems such as small and trivial shadow processing, the scarcity of end ...
Hui Fan, Meng Han, Jinjiang Li
doaj +1 more source
ISPRS International Journal of Geo-Information, 2023 Under the background of intensified human activities and global climate warming, the frequency and intensity of flood disasters have increased, causing many casualties and economic losses every year.
Jingming Wang +7 more
doaj +1 more source