Combining Haar Wavelet and Karhunen-Loeve Transform for Robust and Imperceptible Data Hiding Using Digital Images

被引:12
|
作者
Sharma, Akankasha [1 ]
Singh, Amit Kumar [1 ]
Kumar, Pardeep [1 ]
机构
[1] Jaypee Univ Informat Technol, Dept Comp Sci & Engn, Solan, Himachal Prades, India
关键词
Image watermarking; DWT; KLT; PSNR; NC; de-noising;
D O I
10.1515/jisys-2017-0032
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we present an introduction of digital image watermarking followed by important characteristics and potential applications of digital watermarks. Further, recent state-of-the-art watermarking techniques as reported by noted authors are discussed in brief. It includes the performance comparison of reported transform/spatial domain based watermarking techniques presented in tabular form. This comprehensive survey will be significant for researchers who will be able to implement more efficient watermarking techniques. Moreover, we present a robust watermarking technique using fusion of discrete wavelet transform (DWT) and Karhunen-Loeve transform for digital images. Further, visual quality of the watermarked image is enhanced by using different image de-noising techniques. The results are obtained by varying the gain factor, size of the image watermark, different DWT sub-bands, and image processing attacks. Experimental results demonstrate that the method is imperceptible and robust for different image processing attacks.
引用
收藏
页码:91 / 103
页数:13
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