DSNI-Net: Forensic Network for Detecting Splicing in Salt-and-Pepper Noisy Images

DSNI-Net: Forensic Network for Detecting Splicing in Salt-and-Pepper Noisy Images

Image splicing forensics technology is an important way to detect and locate spliced areas in naturally tampered images. However, common noise, especially salt-and-pepper (s&p) noise, can change pixel values to 0 or 255, significantly reducing the accuracy of splicing forensic methods. As...

Full description

Bibliographic Details
Main Authors: Wuyang Shan, Yijie Xie, Pengbo Wang, Deng Zou, Junying Qiu, Jun Li
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Splicing forensics
image denoising
salt-and-pepper noise
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/10904222/

Internet

https://ieeexplore.ieee.org/document/10904222/

Similar Items