5 ways AI photo editing can fix dull or distracting images

AI image editing can streamline workflows and enhance photos with just a few clicks. Using Luminar Neo as an example, we show ...
Robohub

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

In the latest in our series of interviews meeting the AAAI/SIGAI Doctoral Consortium participants, we caught up with Aniket ...
IEEE

Efficient Image Processing via Memristive-Based Approximate In-Memory Computing

Abstract: Image processing algorithms continue to demand higher performance from computers. However, computer performance is not improving at the same rate as before. In response to the current ...
Scientific Research Publishing

A Lightweight MobileViT with a Dual-Path Attention Mechanism for MRI Image Classification ()

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of MRI images through deep learning is important for early treatment and ...
Frontiers

Editorial: Application of deep learning in biomedical image processing

In the era of data-driven medicine, biomedical imaging has evolved from a purely diagnostic tool to a cornerstone of precision healthcare. The confluence of deep learning (DL) and biomedical image ...
IEEE

ASM-DiffConvNet: Physics-Guided Difference Convolution Network for Single-Image Restoration

Abstract: This work proposes a physics-guided unified deep learning architecture for single image restoration targeting dehazing, deraining, and low-light enhancement. The architecture first estimates ...
GitHub

Android Media Transcoder - Video/Audio/Image Transcoder Example

Just for Fun – Since you can't really run FFmpeg via command line on phones, and most transcoding apps on the market ask for payments or VIP memberships, I decided to build my own. As long as it runs, ...