A dual-watermarking with DR code against cropping and resizing attack

Watermarking is a pattern of bits inserted into a digital image, audio or video file (digital file) that identifies the file's ownership copyright information. It is one of the techniques to discourage illegal duplication of intellectual property. However, there is still a room for improvement...

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主要作者: Lau, Wei Khang
格式: Thesis
語言:English
English
English
出版: 2016
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在線閱讀:http://eprints.uthm.edu.my/9953/2/24p%20LAU%20WEI%20KHANG.pdf
http://eprints.uthm.edu.my/9953/1/LAU%20WEI%20KHANG%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/9953/3/LAU%20WEI%20KHANG%20WATERMARK.pdf
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總結:Watermarking is a pattern of bits inserted into a digital image, audio or video file (digital file) that identifies the file's ownership copyright information. It is one of the techniques to discourage illegal duplication of intellectual property. However, there is still a room for improvement for new techniques applied to digital files to withstand against cropping and resizing attack. In this Dual-watennarking with QR code project, both visible and invisible watermark are used. The proposed technique is compared with MOHANTY and HSU & WU techniques. First, visible QR code watermark is embedded into the image using LSB 7 (embed at the 7'h bit from the left of the binary number) technique. Then, the invisible QR Code watermark was embedded into image using LSB I ( embed at the I st bit from the left of the binary number) technique. The proposed technique shows the watermark can be successfully extracted when image is enlarged up to 90 percent or shrank up to 90 percent (resizing attack). If enlarging and shrinking are combined to the same watermarked image, watermark can still be extracted and scanned. Final result for cropping attack shows that watermark can be successfully extracted when image is cropped up to 36 percent. If it is more than 36 percent, watermark is extractable but can not be scanned by QR Code scanner device. Besides that, PSNR result also shows that the proposed technique DWQR is 15 percent better than HSU & WU technique