Abstract:Seam carving (SC) is a computer vision algorithm that resizes natural images by removing their least informative regions. We adapt SC as a novel application to reduce the size of 2D and 3D seismic data with amplitude preservation. Unlike decimation and conventional resizing, the proposed structure-aware reduction algorithm keeps the datas most important structures and textures. In practice, the SC method uses a gradient-based energy operator and dynamic optimization to find the optimal reduction of the seismi… Show more
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