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Sharpness evaluation algorithm for nailfold microvascular images
Observing and analyzing nailfold microvascular images are essential for evaluating human health, but effective analysis requires high-clarity images....
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Sharpness-Aware Minimization for Out-of-Distribution Generalization
Machine learning models often suffer from a significant decline in performance when they encounter out-of-distribution (OOD) data that differs from...
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Large Cycles in Graphs around Bondy’s and Jung’s Conjectures – Modifications, Sharpness, and Perspectives
AbstractIn 1980, Bondy conjectured a common generalization (depending on λ) of some well-known degree-sum conditions for a graph ensuring the...
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Local sharpness failure detection of camera module lens based on image blur assessment
Videos and images have been widely used, and the requirements for camera imaging quality are getting higher and higher. At present, most methods of...
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Multi-scale Super-Resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness
Magnetic Resonance Spectroscopic Imaging (MRSI) is a valuable tool for studying metabolic activities in the human body, but the current applications...
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SaME: Sharpness-aware Matching Ensemble for Robust Palmprint Recognition
Pose and illumination variations in unconstrained palmprint recognition cause critical problems in terms of region of interest (ROI) misalignment,...
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Retinal Image Quality Assessment Using Sharpness and Connected Components
Mobile application based diagnosis has become an aid nowadays. For better diagnosis, the quality of image needs to be good. Automatic assessment of...
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Allegro-Legato: Scalable, Fast, and Robust Neural-Network Quantum Molecular Dynamics via Sharpness-Aware Minimization
Neural-network quantum molecular dynamics (NNQMD) simulations based on machine learning are revolutionizing atomistic simulations of materials by...
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Improving the Accuracy in Copy-Move Image Detection: A Model of Sharpness and Blurriness
The paper suggests a model based on the sharpness and blurriness to confirm the exact tampered areas from the suspicious ones which are detected from...
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Comparative Sharpness Evaluation for Mobile Phone Photos
Mobile phones are the main source of a vast majority of digital photos nowadays. Photos taken by current mobile phones generally have fairly good...
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Sharpness in the Fuzzy World
In this paper we focus on a fuzzy version of the so-called (un)sharpness property of relational products in arrow/fuzzy categories. It is shown that...
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Assessing the Quality of Acquired Images to Improve Ear Recognition for Children
The use of biometrics to secure the identity of children is a continuous research worldwide. In the recent past, it has been realized that one of the...
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Convolutional neural network-based apple images classification and image quality measurement by light colors using the color-balancing approach
The appearance of an object is affected by the color and quality of the light on the surface and the location of the lighting source. Color-balancing...
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Pyramid-VAE-GAN: Transferring hierarchical latent variables for image inpainting
Significant progress has been made in image inpainting methods in recent years. However, they are incapable of producing inpainting results with...
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BNN-SAM: Improving generalization of binary object detector by Seeking Flat Minima
Binary Neural Network (BNN) exhibits substantial potential for low-cost and energy-efficient deployment, notably in the application of...
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Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction
Early diagnosis and accurate prognosis of colorectal cancer is critical for determining optimal treatment plans and maximizing patient outcomes,...
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Neural Network Method for Detecting Blur in Histological Images
AbstractIn this paper we consider the problem of detecting blurred regions in high-resolution whole slide histologic images. The proposed method is...
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Computational 3D topographic microscopy from terabytes of data per sample
We present a large-scale computational 3D topographic microscope that enables 6-gigapixel profilometric 3D imaging at micron-scale resolution across...
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Combining EfficientNet with ML-Decoder classification head for multi-label retinal disease classification
Retinal diseases that are not treated in time can cause irreversible, permanent damage, including blindness. Although a patient may suffer from more...
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Improving Generalization in Federated Learning by Seeking Flat Minima
Models trained in federated settings often suffer from degraded performances and fail at generalizing, especially when facing heterogeneous...