Detection and Enhancement of 2d Images
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 3
Abstract
Many saliency detection models of stereoscopic display require multi resolution representation of map data in new models for salient region extraction that is not possible in spectral residual. This provides less accuracy with low performance.so,we use enhanced saliency detection framework for binocular images,depending on the feature contrast of luminance,color,texture and depth that are extracted from DCT coefficients for contrast calculation. In this, the feature are extracted and calculated using Gaussian kernel function where the image is transformed and fusion method is processed to obtain the accurate image.We introduce a novel global saliency metric based on sparse representation. We determine the features that are most dissimilar with respect to the entire image as salient, and thereby discriminate the most informative regions in the image from the rest of the image. The high performance provides better accuracy.
Authors and Affiliations
Keerthana. C, Shanthalakshmi. K
Keywords
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