In this paper, a convolutional neural network (CNN) based architecture is reported to detect unsharp masking (USM), the most commonly used sharpening algorithm, ...
In this paper, a CNN based approach is proposed to detect image sharpening. Experimental results have shown that the use of CNNs gives better results in image ...
In this paper, a CNN based approach is proposed to detect image sharpening. Experimental results have shown that the use of CNNs gives better results in image ...
In this paper, a convolutional neural network (CNN) based architecture is reported to detect unsharp masking (USM), the most commonly used sharpening algorithm, ...
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Unsharp masking (USM) sharpening is a typical image processing method to improve image quality. Therefore, revealing USM sharpening traces is essential to ...
The USM is used as digital image processing to sharpen ... image processing with CNN. Fig. 5. Block diagram ... the sharpened image and the enhanced edge detected ...
Observed from the experimental results, even the state-of-art sharpening detector based on CNN can be deceived with the GAN generated images. View.
In this paper, a novel architecture inspired by ConvNext is proposed to detect synthesized adversarial USM sharpening images. Through practical demonstration, ...
It is demonstrated that image forensics has obtained the greatest benefit from using machine learning methods, compared to other forensic domains, and CNN ...