Results 61 to 70 of about 2,330,920 (308)
Tie Point Matching between Terrestrial and Aerial Images Based on Patch Variational Refinement
Remote Sensing, 2023 To produce highly detailed 3D models of architectural scenes, both aerial and terrestrial images are usually captured. However, due to the different viewpoints of each set of images, visual entities in cross-view images show dramatic changes.
Jianchen Liu +3 more
doaj +1 more source
Posterior Mean Super-Resolution with a Compound Gaussian Markov Random Field Prior
, 2012 This manuscript proposes a posterior mean (PM) super-resolution (SR) method with a compound Gaussian Markov random field (MRF) prior. SR is a technique to estimate a spatially high-resolution image from observed multiple low-resolution images. A compound
Inoue, Masato, Katsuki, Takayuki
core +1 more source
FEBS Letters, EarlyView.This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva +5 more
wiley +1 more source
DISOCCLUSION OF 3D LIDAR POINT CLOUDS USING RANGE IMAGES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 This paper proposes a novel framework for the disocclusion of mobile objects in 3D LiDAR scenes aquired via street-based Mobile Mapping Systems (MMS). Most of the existing lines of research tackle this problem directly in the 3D space.
P. Biasutti +4 more
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A First Derivative Potts Model for Segmentation and Denoising Using ILP
, 2018 Unsupervised image segmentation and denoising are two fundamental tasks in image processing. Usually, graph based models such as multicut are used for segmentation and variational models are employed for denoising. Our approach addresses both problems at
D Bertsimas +3 more
core +1 more source
Variational quantum circuits for convolution and window-based image processing applications
Quantum Science and Technology, 2023 Abstract Quantum information processing is gaining popularity in the fields of machine learning and image processing because of its advantages. Quantum convolution is an interesting topic in this field, and studies on this topic can be divided into value-based and angle-based methods.
Hasan Yetiş, Mehmet Karaköse
openaire +2 more sources
FEBS Letters, EarlyView.The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source
Advances in Mathematical Physics, 2021 The noise pollution in tourist street view images is caused by various reasons. A major challenge that researchers have been facing is to find a way to effectively remove noise.
Xiaofeng Yang
doaj +1 more source
Second Order Differences of Cyclic Data and Applications in Variational Denoising
, 2014 In many image and signal processing applications, as interferometric synthetic aperture radar (SAR), electroencephalogram (EEG) data analysis or color image restoration in HSV or LCh spaces the data has its range on the one-dimensional sphere $\mathbb S ...
Bergmann, Ronny +3 more
core +1 more source
A new nonlocal variational setting for image processing
Inverse Problems & Imaging, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jin, Yan, Jost, Jürgen, Wang, Guofang
openaire +2 more sources