Sunil Bhooshan

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In this paper we propose a novel detail-enhancing exposure fusion approach using nonlinear translation-variant filter (NTF). With the captured Standard Dynamic Range (SDR) images under different exposure settings, first the fine details are extracted based on guided filter. Next, the base layers (i.e., images obtained from NTF) across all input images are(More)
We develop a multiexposure image fusion method based on texture features, which exploits the edge preserving and intraregion smoothing property of nonlinear diffusion filters based on partial differential equations (PDE). With the captured multi-exposure image series, we first decompose images into base layers and detail layers to extract sharp details and(More)
Investigation of brain disorders especially epilepsy and impaired cognitive functions are the most common clinical application of neurophysiologic signals. EEG signals reflect the activity of brain and are capable of assessing the brain condition during abnormalities. In this study we have investigated the potential of two different algorithms (back(More)
Clinical data is complex, context-dependent, and multi-dimensional, and such data generates an amalgamation of computing research challenges. To extract and interpret the useful information from raw data is a challenging job. This study aims at developing an automated predictive model to diagnose the state of an epileptic patient using EEG signals. The(More)
Electroencephalogram (EEG) is a time varying brain electrical activity, highly sensitive and gives a coarse view of neural activity. It has been used to study cognitive processes and the physiology of the brain. EEG recordings are distorted by physiological and non-physiological signals causing problems to the clinicians, neuropsychologist and researchers(More)
In the present paper, we discuss a method to design a linear phase 1-dimensional Infinite Impulse Response (IIR) filter using orthogonal polynomials. The filter is designed using a set of object functions. These object functions are realized using a set of orthogonal polynomials. The method includes placement of zeros and poles in such a way that the(More)