Results 51 to 60 of about 48,579 (315)
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders
, 2019 Convolutional autoencoders have emerged as popular methods for unsupervised defect segmentation on image data. Most commonly, this task is performed by thresholding a pixel-wise reconstruction error based on an $\ell^p$ distance. This procedure, however,
Bergmann, Paul +4 more
core +1 more source
nOMP: A New Sparse Solution to Enhance the SSIM Levels of OMP-Based Encoded Images
IEEE Access, 2022 This work comprises the development of a quality enhancement technique for image encoders that use compressive sensing. The recommended solution seeks to maximize the perceptual quality based objective function, unlike other sparse representation ...
A. N. Omara +2 more
doaj +1 more source
A combined first and second order variational approach for image reconstruction
, 2013 In this paper we study a variational problem in the space of functions of bounded Hessian. Our model constitutes a straightforward higher-order extension of the well known ROF functional (total variation minimisation) to which we add a non-smooth second ...
A. Bertozzi +70 more
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Компьютерная оптикаDue to the small number of annotated radar image datasets, the use of optical images for training neural networks designed to detect objects in radar images seems promising.
V.A. Pavlov +3 more
doaj +1 more source
Improved SR-SSIM Band Selection Method Based on Band Subspace Partition
Remote Sensing, 2023 Scholars have performed much research on reducing the redundancy of hyperspectral data. As a measure of the similarity between hyperspectral bands, structural similarity is used in band selection methods.
Tingrui Hu +3 more
doaj +1 more source
Advanced Materials Technologies, EarlyView.This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
European Radiology Experimental, 2023 Background The collection and annotation of medical images are hindered by data scarcity, privacy, and ethical reasons or limited resources, negatively affecting deep learning approaches.
Jérôme Schmid +2 more
doaj +1 more source
Multi-focus Image Fusion using dictionary learning and Low-Rank Representation
, 2017 Among the representation learning, the low-rank representation (LRR) is one of the hot research topics in many fields, especially in image processing and pattern recognition.
Li, Hui, Wu, Xiao-Jun
core +1 more source
In Situ Characterisation of Hydrogels via Dynamic Interface Printing
Advanced Science, EarlyView.ABSTRACT Hydrogels have become pivotal materials for tissue engineering, robotics, biomedical devices, and sensing applications due to their diverse material compositions and tunable mechanical properties. While significant effort has focused on developing novel manufacturing approaches such as extrusion bioprinting and light‐based fabrication methods,
Callum Vidler +2 more
wiley +1 more source
, 2019 Differential phase-contrast computed tomography (DPC-CT) is a powerful analysis tool for soft-tissue and low-atomic-number samples. Limited by the implementation conditions, DPC-CT with incomplete projections happens quite often.
Dong, Jianbing, Fu, Jian, He, Zhao
core +1 more source