@incollection{singh_medical_2017,
	address = {Cham},
	series = {Multimedia {Systems} and {Applications}},
	title = {Medical {Image} {Watermarking} {Techniques}: {A} {Technical} {Survey} and {Potential} {Challenges}},
	isbn = {978-3-319-57699-2},
	shorttitle = {Medical {Image} {Watermarking} {Techniques}},
	url = {https://doi.org/10.1007/978-3-319-57699-2_2},
	abstract = {This chapter devoted to the comprehensive survey on the current state-of-the-art in the field of medical image watermarking. In addition to this, we have introduced the wavelet based watermarking techniques because the main advantages this technique are space-frequency localization, multi-resolution representation, multi-scale analysis, reducing blocking artifact, adaptability, linear complexity and compatibility with the image coding standards JPEG 2000. Further, the potential challenges of existing techniques are also discussed followed by performance comparison of important wavelet domain medical image watermarking techniques are tabulated.},
	language = {en},
	urldate = {2019-04-11},
	booktitle = {Medical {Image} {Watermarking}: {Techniques} and {Applications}},
	publisher = {Springer International Publishing},
	author = {Singh, Amit Kumar and Kumar, Basant and Singh, Ghanshyam and Mohan, Anand},
	editor = {Singh, Amit Kumar and Kumar, Basant and Singh, Ghanshyam and Mohan, Anand},
	year = {2017},
	doi = {10.1007/978-3-319-57699-2_2},
	keywords = {DCT, DWT, ECCs, EPR, Encryptions, SVD},
	pages = {13--41},
}

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