New imaging tools help cancer researchers see inside living cells

A new study co-led by an Oregon Health & Science University researcher describes a breakthrough in microscopy tools that ...
IEEE

JOANet: An Integrated Joint Optimization Architecture Making Medical Image Segmentation Really Helped by Super-Resolution Pre-Processing

Abstract: Conventional computer vision pipelines typically treat low-level enhancement and high-level semantic tasks as isolated processes, focusing on optimizing enhancement for perceptual quality ...
IEEE

A Joint Framework for Underwater Image Enhancement and Super-Resolution Reconstruction

Abstract: Underwater images often suffer from complex degradations, such as severe color distortion and low spatial resolution. Existing restoration methods typically focus on a single as-pect-either ...
IEEE

IRBFusion: Diffusion-Based Blind Image Super Resolution Using Unsupervised Learning and Bank of Restoration Networks

Abstract: Image super resolution focuses on increasing the spatial resolution of low-quality images and enhancing their visual quality. Since the image degradation process is unknown in real-life ...