Gupta Kirtika, Rai C. S; International Journal of Advance Research, Ideas and Innovations in Technology. © 2017, www.IJARIIT.com All Rights Reserved Page | 1289 ISSN: 2454-132X Impact factor: 4.295 (Volume3, Issue3) Available online at www.ijariit.com Designing and Performance Evaluation of a 3-Level Watermarking Based On Encryption and Compression Kirtika Gupta M.Tech Scholar, CSE Deptt. GGSIPU, Delhi gupta.kirtika16@gmail.com C. S. Rai Prof., CSE Deptt. GGSIPU, Delhi csrai@ipu.ac.in Abstract: As the mobile handheld gadgets geared up with fingerprint sensors, it turns out to be important to protect the private records of a user (i.e., fingerprint image) in the remote applications. Virtual image watermarking is the process of hiding statistics in any shape (text, image, audio, and video) in the original image without degrading its visual quality. Watermarking is carried out for copyright protection of the authentic records. In this work, we have introduced a new concept with current gray-scale image watermarking strategies. The novelty of the method is that first, we have compressed the cover image with the usage of wavelet compression method before going for the encryption of the same. After that, we have encrypted the cover and watermark image that is based on random key array generation, the usage of consumer key, a few constants and fixed operations. The mixture of all 3 steps collectively made the proposed approach extra robust and more secure in term of watermarking as compression itself is pretty endorsed for facts transfer and information protection. Also, the watermark is extracted with the reverse application of the same steps. Some output parameters are also calculated to reveal the accuracy and robustness of proposed method. Those parameters are Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and a Correlation value between unique watermark image and extracted watermark image. The PSNR, MSE and Correlation values imply that the visual similarity of the signed and attached images is right. Additionally, we've computed the behavior by clubbing the same watermark with different Cover images in terms of MSE, PSNR and Correlation Value and analyze the difference between authentic watermark and extracted watermark. The embedding algorithm is robust against common image processing operations. It is concluded that proposed algorithm is agreeably optimized, robust and show the development of different comparable said strategies. Keywords: Watermarking, Wavelet Compression, Encryption, MSE, PSNR. I. INTRODUCTION As technology increases in the field of medicine, imaging techniques due to teleradiology, telepathy became more popular nowadays. For teleradiology, it requires highly truthiness in image processing system. In this case, watermarking plays an important role in the field of image, audio and video security. Watermarking system covers image in such a way that it can be retrieved for a variety of purposes in future [1]. As for clinical diagnosis, treatment, research, education and other commercial/non-commercial applications, both for private and government organizations, the medical information is very important. A. IMPORTANT PARAMETERS IN WATERMARKING SYSTEMS There are a lot of parameters and variables in digital watermarking systems, the most important ones are listed here: 1. Quantum of information embedded: It is calculated by the definite application and it directly influences the strength of the system. More the information is given, less robust the watermarking will be. In the case of medical images, insertion of more information may destroy the originality of the image. 2. Watermark intensity: It is known as the power of the embedded watermark. To enhance the robustness, one may increase this parameter, but at the cost of the deprivation of original image.