Publication

Abstract : Document images is more fashionable in today’s world and it is using in digitalized libraries and digitalized organization. These images are shared over the internet through emails, online messengers and social media/public channels. Unauthorized persons can be used it for fraudulent purposes like duplicating without getting permissions, hacks and attacks, copyright or patent infringement/abuse and so on. Hence it is necessary to provide certain security mechanisms for protecting these document images which becomes important for securing the confidential document images from unauthorized persons. The primary aim of this research work is to protect the document images before sharing and it is to be converted into its original form to authorized persons after sharing. In this research work, blur techniques are used for protecting the document images whereas deblur techniques are used to convert the protected document images into its original form. This work has proposed blear blur technique for protecting the document images and it is compared with average blur, gaussian blur and motion blur. We proposed dabber de-blur technique for reconstructing the blurred images and extracted the original image. The performance of dabber de-blur is compared with blind de-convolution and lucy richardson techniques. From the performance and output results it is observed that the proposed techniques have produced good results than an existing ones.