Amit Singh

ā no bhadrāḥ kratavo yantu viśvato ' Let good thoughts come from all around; inspired by this timeless epic of Rigveda. India has presented an excellent model of Multiculturalism to the world. The multiculturalist model of the West, as established by contemporary thinkers like Will kymlicka, is based on the separate political existence of different cultural classes. However, India's cultural nationalism has shown how diverse cultures can co-exist with a common socio-political thought over the centuries. Sakas, Huns, Kushans, Turks, Afghan, Iranians, and Mughals all got absorbed in sanatan Indian culture. Not only this , it also gave place to the different cultures to come, and made the model, of coexistence alive. In the name of nationalities like French, Spanish, Portuguese, Polish, and German, Europe got divided into many nation states, but in India Gujarati, Marathi,, Telugu Oriya, Bengali, Punjabi, Assamese, Tamil, Kannada, Malayalam nationalities were not divided into nation states. Instead coexistence has been made for thousands of years. India has maintained multiculturalism not only at the socio-cultural level but also at the political level. Through federal structure, universal suffrage, constitutionally guaranteed civil rights, with other constitutional, institutions and provisions, multiculturalism is being addressed at the political level for population of 13 million people. Thus, in India, multiculturalism is not only a political tool for diversity but also a socio-political concept. Therefore, Indian multiculturalism presents a comprehensive, effective and more sustainable model which have to be discussed.

'ā no bhadrāḥ kratavo yantu viśvato ' Let good thoughts come from all around; inspired by this timeless epic of Rigveda. India has presented an excellent model of Multiculturalism to the world. The multiculturalist model of the West, as established by contemporary thinkers like Wilkymalika, is based on the separate political existence of different cultural classes. been made for thousands of years. India has maintained Multiculturalism not only at the socio-cultural level but also at the political level. Through federal structure, universal suffrage, constitutionally guaranteed civil rights, with other constitutional institutions and provisions, multiculturalism is being addressed at the political level for a population of 13 million people .Thus in India , multiculturalism is not only is not only a political tool for diversity but also a socio-political concept. Therefore, Indian multiculturalism presents a comprehensive, effective, and more sustainable model which have to be discussed.

In this paper, an algorithm for multiple digital watermarking based on discrete wavelet transform, discrete cosine transform, and singular value decomposition was proposed for healthcare applications such as tele-ophthalmology, tele-medicine, tele-diagnosis, and tele-consultancy services. Multiple watermarks were used in this algorithm to reduce the consequences of medical identity thefts. In the embedding process, the cover medical image was decomposed into third-level DWT. Low-frequency bands were transformed by DCT, and then SVD was applied to DCT coefficients. Two watermarks in the form of images were also transformed by DCT and then SVD. The singular values of the watermark information were embedded in the singular value of the cover medical image. Watermarks were extracted using an extraction algorithm. In order to enhance the robustness performance of the image watermarks, back-propagation neural network was applied to the extracted watermarks to reduce the effects of different noise applied on the watermarked image. Results were obtained by varying the gain factor and the different cover image modalities. Experimental results were provided to illustrate that the proposed method is able to withstand a variety of signal processing attacks, and has been found to give excellent performance in terms of robustness and imperceptibility. The performance of the method was also compared with other reported techniques. Further, the visual quality of the proposed method was also evaluated by a subjective method.

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 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.