We propose a neural network-based recaptured image identification algorithm and use the difference between two types of images to build the identification ...

Oct 22, 2024 · This paper proposes an automatic classification method to detect glaucoma in fundus images. The method is based on training a neural network ...

Sep 4, 2024 · This article provides an in-depth review of the diverse measurement aspects that researchers intentionally impair in their biophotonic setups.

This paper provides a comprehensive overview of the traces found in recaptured images, and argues that aliasing and blurriness are the least scene dependent ...

In this paper, we aim to address the image recapturing de- tection problem with the convolutional and recurrent neural net- works. With the advances of image ...

The model combines the features of convolutional and recurrent neural networks while leveraging transfer learning with a pre-trained VGG16 model from the ...

This paper analyzes the characteristics of convolutional neural network (CNN) and vision transformer (ViT) in extracting features and proposes a cascaded ...

In this paper, a new detection algorithm of the recaptured image is presented based on gray level co-occurrence matrix by analyzing the differences between the ...

Feb 28, 2024 · This study presents a novel image retrieval system empowered by artificial neural networks for the identification and classification of lung diseases.