Evaluation of Blur and Gaussian Noise Degradation in Images Using Statistical Model of Natural Scene and Perceptual Image Quality Measure

In this paper we present new method for classification of image degradation type based on Riesz transform coefficients and Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE) that employs spatial coefficients. In our method we use additional statistical parameters that gives us statistically better results for blur and all tested degradations together in comparison with previous method. A new method to determine level of blur and Gaussian noise degradation in images using statistical model of natural scene is presented. We defined parameters for evaluation of level of Gaussian noise and blur degradation in images. In real world applications reference image is usually not available therefore proposed method enables classification of image degradation by type and estimation of Gaussian noise and blur levels for any degraded image

The remote securitisation of Islam in the US post-9/11: euphemisation, metaphors and the “logic of expected consequences” in counter-radicalisation discourse

© 2015 Taylor & Francis. This article critically analyses the securitisation of Islam post-9/11 in the US and argues that this securitisation is a remote securitisation whereby the securitisers – the security practitioners – are placed at a distance from the securitisees – the Muslim community. This is achieved through two processes of security practice: linguistically by euphemising language and using metaphors, and analytically by understanding radicalisation through a rationalist perspective, which follows the “logic of expected consequences”. This article further problematises the rationalist view of radicalisation in the counterterrorism sector in the US and concludes by introducing a Bourdieusan concept of relationality to critical counter-radicalisation studies