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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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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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Classification of Metrics
Metrics can be divided into different categories according to several classifications.
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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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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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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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Learnable Gabor Filters in CNNs: Avoiding Filter Degeneration via Early Stop** Based on Similarity Metrics
The advent of Deep Learning introduced a paradigm shift in the design and implementation of machine learning models, from the feature engineering...
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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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MLT-Trans: Multi-level Token Transformer for Hierarchical Image Classification
This paper focuses on Multi-level Hierarchical Classification (MLHC) of images, presenting a novel architecture that exploits the “[CLS]”...
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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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Gaussian quantum arithmetic optimization-based histogram equalization for medical image enhancement
The quality of medical images is critical for accurate diagnosis. This paper introduces a novel Quantum-behaved Arithmetic Optimization Algorithm...
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An efficient swin transformer-based method for underwater image enhancement
Due to the complex imaging environment of the ocean, the underwater images obtained by optical vision systems are usually severely degraded....
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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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A referenceless image degradation perception method based on the underwater imaging model
With the development of underwater image processing, more and more underwater image restoration algorithms have been proposed. To date, most...
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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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A novel highland and freshwater-circumstance dataset: advancing underwater image enhancement
As an important underlying visual processing task, underwater image enhancement techniques have received a lot of attention from researchers due to...
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Multi-scale Attention Conditional GAN for Underwater Image Enhancement
Underwater image enhancement (UIE) has achieved impressive achievements in various marine tasks, such as aquaculture and biological monitoring....
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Invertible Sharpening Network for MRI Reconstruction Enhancement
High-quality MRI reconstruction plays a critical role in clinical applications. Deep learning-based methods have achieved promising results on MRI...
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Blindly Evaluate the Quality of Underwater Images via Multi-perceptual Properties
The quality of underwater images can vary greatly due to the complexity of the underwater environment as well as the limitations of imaging devices....