Retinal imaging is evolving fast, with advanced enhancement techniques and AI-driven tools improving clarity, accuracy, and diagnostic potential. From noise reduction to workflow integration, these ...

Every time a smartphone snaps a photo, millions of tiny light detectors capture the scene and then ferry all that raw data ...

"An Adaptive and Scalable Convolution Framework for Low-Light Image Enhancement via Analytic Functions Subordinate to Laguerre Polynomials" The proposed method leverages coefficient bounds derived ...

In this paper, we tackle the high computational overhead of transformers for lightweight image super-resolution. (SR). Motivated by the observations of self-attention's inter-layer repetition, we ...

Ag/Sb2O3/Au molecular-crystal memristor array with brain-inspired computing capabilities, designed to accelerate electric grid inspections while dramatically reducing energy consumption. The devices ...

Abstract: Emerging virtual reality (VR) applications bring significant challenges to spherical image compression. Spherical images are first converted into planar images using projections like the ...

Here’s something fun. Our hacker [Willow Cunningham] has sent us a copy of their homework. This is their final project for the “ECE 574: Cluster Computing” course at the University of Maine, Orono. It ...

A windowed sinc function can implement a low-pass filter, and a two-dimensional convolutional filter can blur or sharpen images. In part 3 of this series, we introduced a low-pass filter based on the ...

Event-based cameras are bio-inspired vision sensors that mimic the sparse and asynchronous activation of the animal retina, offering advantages such as low latency and low computational load in ...