An Energy Based Model For The Image Edge Histogram Specification Problem - 2012 PROJECT TITLE :An Energy Based Model For The Image Edge Histogram Specification Problem - 2012ABSTRACT: In this correspondence, we present an original energy-based model that achieves the edge-histogram specification of a real input image and thus extends the exact specification method of the image luminance (or gray level) distribution recently proposed by Coltuc et al. Our edge-histogram specification approach is stated as an optimization problem in which each edge of a real input image will tend iteratively toward some specified gradient magnitude values given by a target edge distribution (or a normalized edge histogram possibly estimated from a target image). To this end, a hybrid optimization scheme combining a global and deterministic conjugate-gradient-based procedure and a local stochastic search using the Metropolis criterion is proposed herein to find a reliable solution to our energy-based model. Experimental results are presented, and several applications follow from this procedure. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Accelerated Hypothesis Generation for Multistructure Data - 2012 An Improved Multiplicative Spread Spectrum Embedding Scheme for Data Hiding - 2012