Thick cloud cover can completely obscure the surface of the Earth from satellite view, while thinner haze and shadows distort ...

A nanophotonic diffractive network performs morphological image processing, including dilation and erosion, purely through light propagation.

Abstract: In recent years, deep learning (DL) systems have been applied in many areas, including image processing and autonomous driving. Software testing is an important way to ensure the quality of ...

IFAP generates adversarial perturbations using model gradients and then shapes them in the discrete cosine transform (DCT) domain. Unlike existing frequency-aware methods that apply a fixed frequency ...

Abstract: Image denoising is a key component of digital image processing systems. The latest advances in deep learning have led to significant improvements in denoising techniques, particularly ...

With what appears to be an extra finger on his right hand and no actual arrow in his bow, the man featured in the Department of Energy and Environmental Protection‘s Facebook post did not look like ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...

ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...

This repository showcases my comprehensive learning journey and project work from the ITAI 2376: Deep Learning and AI Agent Development course. Here, you'll find a collection of my assignments, labs, ...

Researchers have designed a robust image-based anomaly detection (AD) framework with illumination enhancement and noise suppression features that can enhance the detection of subtle defects in ...