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Showing 10 of 10 academic articles

Multitask Learning Mechanism for Remote Sensing Image Motion Deblurring

Jie Fang, Xiaoqian Cao, Dianwei Wang, Shengjun Xu • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021)

As a fundamental preprocessing technique, remote sensing image motion deblurring is important for visual understanding tasks. Most conventional approaches formulate the image motion deblurring task as a kernel estimation. Because the kernel...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2020.3047636

A Survey on Underwater Computer Vision

Salma González-Sabbagh, Antonio Robles‐Kelly • ACM Computing Surveys (2023)

Underwater computer vision has attracted increasing attention in the research community due to the recent advances in underwater platforms such as of rovers, gliders, autonomous underwater vehicles (AUVs) , and the like, that now make possi...

OPENALEX other-oa DOI: https://doi.org/10.1145/3578516

FIR-SDE: fast image restoration via mean-reverting stochastic differential equation

Xin Shi, Zhengchao Xu, Sunan Ge, Xueqing Zhao et al. • Complex & Intelligent Systems (2026)

Abstract In computer vision, zero-shot image restoration—a technique enabling degraded image restoration without large-scale paired training data—has emerged as a pivotal technique for scenarios where data is limited or paired training data...

DOAJ Open Access (DOAJ) DOI: 10.1007/s40747-025-02205-z

Evaluation of noise reduction methods in digital images: Classical filtering vs adaptive learning-based models

Subbulakshmi M, Mohammad Malik Mubeen S, Mohamed Ali E A • AIP Advances (2026)

Digital images acquired through imaging systems often lose their original fidelity due to various types of noise introduced during acquisition, storage, or transmission, consequently reducing clarity and adversely affecting subsequent image...

DOAJ Open Access (DOAJ) DOI: 10.1063/5.0332993

Deep Learning-Based Channel Estimation

Mehran Soltani, Vahid Pourahmadi, Ali Mirzaei, Hamid Sheikhzadeh • IEEE Communications Letters (2019)

In this letter, we present a deep learning algorithm for channel estimation in communication systems. We consider the time-frequency response of a fast fading communication channel as a 2D image. The aim is to find the unknown values of the...

OPENALEX Open Access DOI: https://doi.org/10.1109/lcomm.2019.2898944