Image Splicing Location Based on Illumination Maps and Cluster Region Proposal Network
Splicing is the most common operation in image forgery, where the tampered background regions are imported from different images. Illumination maps are inherent attribute of images and provide significant clues when searching for splicing locations. This paper proposes an end-to-end dual-stream netw...
Main Authors: | Ye Zhu, Xiaoqian Shen, Shikun Liu, Xiaoli Zhang, Gang Yan |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/18/8437 |
Similar Items
-
A Method of Unknown Illuminator Location Based on Matched Multi-illuminators
by: Zhao Hong-li, et al.
Published: (2015-01-01) -
Low-illumination image enhancement with logarithmic tone mapping
by: Du Changqing, et al.
Published: (2023-12-01) -
K-Hyperline Clustering-Based Color Image Segmentation Robust to Illumination Changes
by: Senquan Yang, et al.
Published: (2018-11-01) -
Region proposal network based on context information feature fusion for vehicle detection
by: Zengyong Xu
Published: (2022-01-01) -
Multiple linear regression based illumination normalization for non-uniform light image thresholding
by: Tapaswini Pattnaik, et al.
Published: (2024-03-01)