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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...
Most block-cipher image encryption schemes based on chaos theory have independent modules for confusion and diffusion processes. None of the current schemes use chaos theory in the diffusion modules - thus not utilizing the capabilities of chaos to the fullest extent. We can do better: we integrate these mechanisms into a single step, thus making the encryption process efficient. This paper presents...
Accurate segmentation of optic disc (OD) in retinal images is of critical importance in diagnosis of diabetic retinopathy (DR). The accuracy of OD boundary detection using active contours is based on homogeneity of OD region. In this work we improve upon active contour model segmentation of OD from morphologically preprocessed fundus image in the Lab color space. The key contribution presented here...
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