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In this research, we propose a print/scan-resistant watermarking method using the green noise diffusion method . This method divides an image into blocks, embeds watermark information in each block, and has the characteristics of print resistance. Usually, copyright protection applications deal with large-sized images as target images. Therefore, it is necessary to extract the watermark from the cropped image of the image.¡¡In this study, we investigate a green-noise¡¡diffusion method that embeds marker patterns and can be applied to cropped images. For this purpose, identifier based on machine learning are used to detect watermark patterns, including marker patterns with high accuracy. To obtain block synchronization,¡¡sub-information¡¡are introduced¡¡and¡¡we¡¡investigated block synchronization from cropped images. Furthermore, we aimed to create a highly secure watermarking method using camouflage patterns.
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IEEE/ICACT20220093 Slide.05
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