Earticle

Image Processing is dealing with images containing lots of points. By Interpolation of these points to form different curves are taken under consideration in this paper. The curve modification and fitting in image processing can use Bezier Curve applications in various ways and by modifying these curves better result are generated. Bezier curve and its applications have vast scope for research in image processing like curve fitting algorithm, pattern recognition and computer aided geometric design. Application of Bezier curve are widely implemented in face detection, smile detection, hand writing and digit recognition which give wide view of Bezier curves. In this paper we go through various concepts and its application which can be used in image processing for providing extra edge in this field.

Nowadays, the increasing requirement for telemedicine services has raised more concerns in real-time medical image encryption. However, traditional block ciphers have been found poorly fit this requirement. Considering this, we propose an efficient cryptosystem for medical image encryption in the present study. Chaos-based permutation-diffusion architecture is adopted, whereas an improved image confusion strategy is developed based on the intrinsic feature of medical images. The improved confusion approach can bring about not only satisfactory permutation performance but also bit distribution balancing effect for medical images. Simulations and extensive security analyses indicate that the proposed cryptosystem provides an efficient approach for real-time secure medical image transmission and storage over public networks.