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File carving tools carry out file recovery whenever the file-system meta-data is not available, which makes them a valuable addition to the cyber crime investigator's toolkit. Existing file carvers either cannot handle fragmented files or require a probabilistic model derived using a number of training images. This training data may not always be feasible to aggregate or its sheer size could undermine...
This paper proposes an efficient algorithm for noise level estimation in still images. The images are assumed to be corrupted by additive white Gaussian noise. The proposed method relies on block-based image segmentation and Gaussian filtering to estimate the standard deviation of Gaussian noise. The proposed method employs adaptive image segmentation, where the size of segmentation blocks is derived...
Iris recognition is a biometric authentication system proving vital for ensuring security and has been employed as an important case to test the algorithms developed in pattern recognition. The unique circular shape of the iris and its time invariance makes it a versatile technique that has an accuracy that can be mathematically proven. Here in this work we propose a new segmentation technique and...
With the recent developments in medicine and biology experiments a large amount of data is gathered in the form of multimedia elements (images, videos). Many algorithms have been developed and adapted based on the system of interest, and often the most challenging feature of the images may be used to facilitate a better analysis of the image. Herein, we developed an image analysis algorithm for quantification...
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