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Quantifying visual image quality: A bayesian view
Image quality assessment (IQA) models aim to establish a quantitative relationship between
visual images and their quality as perceived by human observers. IQA modeling plays a …
visual images and their quality as perceived by human observers. IQA modeling plays a …
Accurate screw detection method based on faster R-CNN and rotation edge similarity for automatic screw disassembly
Screw disassembly is a core operation in recycling electronic wastes (E-wastes), including
mobile phone mainboards (MPMs). Currently, screw disassembly in most cases is still …
mobile phone mainboards (MPMs). Currently, screw disassembly in most cases is still …
[HTML][HTML] On the positive semi-definite property of similarity matrices
The notion of similarity is a fundamental concept in different scientific fields. Similarity
measures aim at quantifying the extent to which objects resemble each other. This paper is …
measures aim at quantifying the extent to which objects resemble each other. This paper is …
Unified modeling for multiple-energy coupling device of industrial integrated energy system
Data-driven unified modeling for multiple energy-coupling device (MECD) with considering
the changing of operation modes (OMs) triggered by seasonal variation or the alteration of …
the changing of operation modes (OMs) triggered by seasonal variation or the alteration of …
Licas3: A simple lidar–camera self-supervised synchronization method
Recent advances in robotics and deep learning demonstrate promising 3-D perception
performances via fusing the light detection and ranging (LiDAR) sensor and camera data …
performances via fusing the light detection and ranging (LiDAR) sensor and camera data …
A study of the structural similarity image quality measure with applications to image processing
D Brunet - 2012 - uwspace.uwaterloo.ca
Since its introduction in 2004, the Structural Similarity (SSIM) index has gained widespread
popularity as an image quality assessment measure. SSIM is currently recognized to be one …
popularity as an image quality assessment measure. SSIM is currently recognized to be one …
Convergence results in image interpolation with the continuous SSIM
Assessing the similarity of two images is a complex task that attracts significant efforts in the
image processing community. The widely used structural similarity index measure (SSIM) …
image processing community. The widely used structural similarity index measure (SSIM) …
Image resizing by neural network operators and their convergence rate with respect to the -norm and the dissimilarity index defined through the continuous SSIM
In literature, several algorithms for imaging based on interpolation or approximation
methods are available. The implementation of theoretical processes highlighted the …
methods are available. The implementation of theoretical processes highlighted the …
Implementation of neural network operators with applications to remote sensing data
In this paper, we provide two algorithms based on the theory of multidimensional neural
network (NN) operators activated by hyperbolic tangent sigmoidal functions. Theoretical …
network (NN) operators activated by hyperbolic tangent sigmoidal functions. Theoretical …
Convergence rate in terms of the continuous SSIM (cSSIM) index in RBF interpolation
F Marchetti - Dolomites Research Notes on Approximation, 2021 - research.unipd.it
The Structural Similarity index (SSIM) is a very popular tool for the evaluation of the similarity
between two images. In this work, we extend it by introducing the continuous SSIM (cSSIM) …
between two images. In this work, we extend it by introducing the continuous SSIM (cSSIM) …