Tag: Image Enhancement

A new deep learning framework called CLAHE-RATSNet improves lung nodule segmentation in CT images by combining image enhancement with a ...

A strict patient-disjoint evaluation found that a stain-aware image enhancement pipeline did not consistently outperform raw scans for breast histopathology ...

Researchers have introduced an m-polar fuzzy framework combining parametric complement functions and Laplacian pyramid fusion to enhance mixed-illumination images without ...

A systematic review of 94 studies finds that deep learning models, especially GAN-based architectures, outperform classical methods for underwater image ...

A new deep learning pipeline raises yellow rust classification accuracy on wheat leaves from 78 to 87 percent on the ...

A retrospective feasibility study reports that a deep learning network substantially improved simulated ultra-low-dose multi-tracer PET/MR images in Alzheimer's disease, ...

A new ensemble deep learning framework called EnPreNiNet, paired with a night image enhancement technique, achieved a reported mean Average ...

A controlled study reports that MCGE-Net enhanced images using reference images, text and pixel labels, outperforming comparison methods across medical, ...

A peer-reviewed experimental review in Artificial Intelligence Review examines how image enhancement, scaling, and evaluation metrics jointly determine the reliability ...

A convolutional neural network published in Scientific Reports estimates residual saturation to rebalance color channels and a transmission network to ...

Korean researchers have built a hybrid Vision Transformer and CNN generative model that enhances ultrasound image quality with state-of-the-art fidelity ...

Researchers in Vietnam have developed WGPose-LL, a deep learning method that uses paired well-lit images to guide human pose estimation ...

In the rapidly evolving field of computational imaging, a groundbreaking advancement has emerged from the collaborative research team led by ...