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EN
Modern medical imaging techniques produce huge volume of data from stack of images generated in a single examination. To compress them several volumetric compression techniques have been proposed. Performance of these compression schemes can be improved further by considering the anatomical symmetry present in medical images and incorporating the characteristics of human visual system. In this paper a volumetric medical image compression algorithm is presented in which perceptual model is integrated with a symmetry based lossless scheme. Symmetry based lossless and perceptually lossless algorithms were evaluated on a set of three dimensional medical images. Experimental results show that symmetry based perceptually lossless coder gives an average of 8.47% improvement in bit per pixel without any perceivable degradation in visual quality against the lossless scheme.
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Content available remote A monocular approach to 3-D reconstruction based on bilateral symmetry
EN
An object with a plane of symmetry is called bilaterally symmetrical. When an arbitrary object and its image in a plane mirror are bith visible in a monocular view, the object and its image in the mirror are also bilaterally symmetrical with respect to the mirror. In this paper, we present a method for 3-D reconstruction from a monocular image obtained by a calibrated camera based on the bilateral symmetry theory. We first verify the algorithm using a calibration block that is bilaterally symmetrical. Then we test the algorithm using more natural object and a plane mirror whose position and orientation are known. Very good reconstruction results have been obtained in the experiments.
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