並列摘要
This paper presents a digital watermarking technique based on Support Vector Machines (SVMs). Use the nice characteristic of the SVM, which can result an optimal hyperplane for the given training samples, the imperceptibility and robustness requirements of watermarks are fulfilled and optimized. In the proposed scheme, to improve imperceptibility, the watermark is embedded by asymmetrically tuning blue channels of the central and surrounding pixels at the same time. Furthermore, to promote robustness, the embedded watermark bits will be re-modified if necessary according to classifying result of the trained SVM. Our scheme uses only 128 bits in training SVM, thus it is time efficient. Watermarks are embedded in spatial domain and extracted directly from a watermarked image without the requirement of original image. Experiments show that the proposed scheme provides high PSNR of a watermarked images and low extraction error rate.
延伸閱讀
- Wang, C. J. (2009). A Multimedia Watermarking Technique Based on SVMs [doctoral dissertation, Tamkang University]. Airiti Library. https://doi.org/10.6846/TKU.2009.00519
- Lee, J. S., & Huang, F. H. (2013). A NSGA-II Based Image Watermarking Method. 網際網路技術學刊, 14(7), 1131-1139. https://doi.org/10.6138/JIT.2013.14.7.12
- 楊宗家（2009）。Design of Semi-blind Watermarking〔碩士論文，朝陽科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0078-1111200915522144
- 李俊逸、周遵儒、王希俊（2004）。Multi-channel Watermarking Technique of Printed Images。圖文傳播學報，(4)，89-95。https://doi.org/10.6230/GACJ.200412_(4).0003
- 邱宇翼（2013）。A Robust Watermarking Based on DCT and DC-QIM Techniques〔碩士論文，國立臺北科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0006-1208201315183900