Approaches on Medical Image Watermarking Using Big Cordial Data in Network of Network

Abstract

With the shift in time towards several calculation techniques during research of large-scale cordial as well as communication wonders, which is not limited to Internet Studies but may have been influenced by it to some degree. Medical images are important tool for diagnostic procedure and Medical image watermarking (MIW) has come up as a promising solution in this scenario. This “computational turn” is often referred to as a shift toward “big data” or, more precisely, “big data” analytics. This combines to push enhancement of updated techniques using big cordial data in network of networks approaches, as well as instruments because Internet Studies links many fundamental disciplines, it has been a proponent of huge information. All social and cultural fields related to different techniques that utilize “big data” computer science are the study of computers. Similarly, the main study objectives in network of networks are the various browsers, different android applications and gadgets, are all important sources of information. Whatever the, opinions, thoughts, of different clients, also the actions are captured in “big data.” It is suggested by proponents of such methods it’s becoming easier to “analyze society using the Internet,” while others raise serious concerns. As the logic of “big data” affects research objectives, some observations are favored and which are disregarded. In Internet Studies, the ancient invention as well as use of large amount of information different study techniques, as well as critical examinations of such methods, with a particular emphasis on study in Twitter application that acts as cordial.