Work

EctFormer: High-Imperceptibility Deep Image Steganography Based on Empirical Mode Decomposition

Year: 2025

Type: article

Source: IEEE Transactions on Circuits and Systems for Video Technology

DOI: 10.1109/tcsvt.2025.3603961

Authors: Xintao Duan, Sen Li, Zhao Wang, Bingxin Wei, Haewoon Nam, Chuan Qin

Institutions: Henan Normal University, Hanyang University, University of Shanghai for Science and Technology

Language: English

Topic: Advanced Steganography and Watermarking Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Science and Technology Projects of Fujian Province, Key Scientific Research Project of Colleges and Universities in Henan Province, Henan Provincial Science and Technology Research Project

Awards: G3049474084, G3858177025, G6382977553, G8709185553

OpenAlex ID: W4413847157

FWCI:

Cites: 38

Cited by:

Related to: 10