Work

SAU-Net: Saliency-Based Adaptive Unfolding Network for Interpretable High-Quality Image Compressed Sensing in Internet of Things

Year: 2025

Type: article

Source: IEEE Internet of Things Journal

DOI: 10.1109/jiot.2025.3566956

Authors: Chunyan Zeng, Fei Zou, Shiyan Xia, Zhifeng Wang

Institutions: Hubei University of Technology, Central China Normal University

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Hubei Province

Awards: G2167415974, G5243396600, G5261821775, G7841612594, G8824859657, G8983196404

OpenAlex ID: W4410153317

FWCI: 3.576

Cites: 59

Cited by: 8

Related to: 10