Artificial intelligence-based spatio-temporal vision sensors: applications and prospects

Z Li, H Sun - Frontiers in Materials, 2023 - frontiersin.org
Introduction: Advances in machine vision and mobile electronics will be accelerated by the
creation of sophisticated optoelectronic vision sensors that allow for sophisticated picture …

Multispectral Image Quality Improvement Based on Global Iterative Fusion Constrained by Meteorological Factors

Y Shi, B Fu, N Wang, Y Chen, J Fang - Cognitive Computation, 2024 - Springer
It has been proven that the refractive index is related to meteorological parameters in
physics. The temperature changes the atmospheric and lens refractive indices, resulting in …

Lightweight and Dynamic Deblurring for IoT-Enabled Smart Cameras

JW Que, CH Lu - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Blurred images often significantly influence the stability of computer vision systems. With the
development of the Internet of Things (IoT), a camera that leverages artificial intelligence …

A Codec-Unified Deblurring Approach Based on U-Shaped Invertible Network with Sparse Salient Representation in Latent Space

M Wang, T Wen, H Liu - Electronics, 2022 - mdpi.com
Existing deep learning architectures usually use a separate encoder and decoder to
generate the desired simulated images, which is inefficient for feature analysis and …

Improving Image Quality to Assist Brand Logo Detection in Blurred Images

JH Putra, GP Kusuma - Kesatria: Jurnal Penerapan Sistem …, 2024 - tunasbangsa.ac.id
Logo detection is a challenging task in computer vision, especially when the logos are
blurred or distorted in the images. Image deblurring is a technique that can improve the …

[引用][C] Event-based Optical Flow Estimation via Multi-layer Representation

J Park - 2023 - Ulsan National Institute of Science …