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Image inpainting is the art of recovering the original image from images which are generally incomplete due to various factors, including degradation due to ageing, damage due to wear and tear and missing image details due to occlusion. In such situations, there is a need to predict the missing image information without introducing undesirable artifacts. Original contribution in this direction is...
Chaos based image encryption is given much attention in the current research on information security. In this paper a novel image encryption scheme using a 3D chaotic dissipative flow based on Lorenz attractor is proposed. In this encryption scheme, the image is viewed as a 3D cube which demonstrates that the confusion and diffusion can be integrated as one process, then the Lorenz attractor is used...
In this paper we propose a novel method for automatic detection red lesions in digital fundus images. Candidate red lesions are extracted by a novel method called automatic seed generation (ASG). For classification, an implicitly hybrid classifier called spatio temporal feature map classifier (STFM) has been employed. Inclusion of a new feature called elliptic variance during classification phase...
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