An ensemble learning approach for resampling forgery detection using Markov process

R Mehta, K Kumar, A Alhudhaif, F Alenezi… - Applied Soft Computing, 2023 - Elsevier
Resampling is an extremely well-known technique performed for Image forgery detection. It
includes the changes in the content of a picture in terms of rotation, stretching/zooming, and …

Stereo super-resolution images detection based on multi-scale feature extraction and hierarchical feature fusion

J Luo, L Liu, W Xu, Q Yin, C Lin, H Liu, W Lu - Gene Expression Patterns, 2022 - Elsevier
Recently, with most mobile phones coming with dual cameras, stereo image super-
resolution is becoming increasingly popular in phones and other modern acquisition …

Resampling-Detection-Network-Based Robust Image Watermarking against Scaling and Cutting

HL Li, XQ Zhang, ZH Wang, ZM Lu, JL Cui - Sensors, 2023 - mdpi.com
Watermarking is an excellent solution to protect multimedia privacy but will be damaged by
attacks such as noise adding, image filtering, compression, and especially scaling and …

CNN-based image small-angle rotation angle estimation

D Chen, Z Song, J Guo, S Yang… - 2022 IEEE 24th …, 2022 - ieeexplore.ieee.org
Digital image rotation angle estimation is an essential research branch of resampling
detection, and many methods have been proposed for the resampling detection problem …

Robust Manipulation Parameter Estimation Scheme for Post-JPEG Compressed Images using CNN

V Kadha, SK Das - 2023 National Conference on …, 2023 - ieeexplore.ieee.org
The importance of estimating the manipulation parameters in forged images has increased
to grasp the life cycle of the image and gives forensic clues. Although several techniques …