The sound of a breaking string: critical environmental law and ontological vulnerability

This is a thought-provoking contribution on the space of ontological vulnerability as the awareness of being existentially exposed. This space, conceptualised as a space of ‘the middle’ (as opposed, emphatically, to ‘the centre’) offers an opportunity to think away from the sterile debate on eco/anthropocentricity and from such limiting hierarchies as animal/human, human/environmental, natural/artificial. This new, vulnerable position of the middle allows the reconfiguration of ecological processes, and more specifically the position of environmental law in relation to them. Environmental law now finds itself amidst a new, moving, ‘open ecology’ of social, biological and ecological processes. This is a new, radical conceptualisation of what the author has called ‘critical environmental law,’ based upon an epistemology of observation and an ontology of being part of this open ecology. Environmental law, in this light, is simultaneously reformulated as an invitation to disciplinary and ontological openness and yet a call to remain immanent within existing legal structures. This finds expression in four critical environmental positions that set the stage for the further elaboration of a critical environmental law.

Reduced-Reference Image Quality Assessment Based on Edge Preservation

Assessing the subjective quality of processed images through an objective quality metric is a key issue in multimedia processing and transmission. In some scenarios, it is also important to evaluate the quality of the received images with minimal reference to the transmitted ones. For instance, for closed-loop optimisation of image and video transmission, the quality measure can be evaluated at the receiver and provided as feedback information to the system controller. The original images - prior to compression and transmission - are not usually available at the receiver side, and it is important to rely at the receiver side on an objective quality metric that does not need reference or needs minimal reference to the original images. The observation that the human eye is very sensitive to edge and contour information of an image underpins the proposal of our reduced reference (RR) quality metric, which compares edge information between the distorted and the original image. Results highlight that the metric correlates well with subjective observations, also in comparison with commonly used full-reference metrics and with a state-of-the-art reduced reference metric. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.