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A Preliminary Comparison Between Compressive Sampling and Anisotropic Mesh-based Image Representation
Compressed sensing (CS) has become a popular field in the last two decades to represent and reconstruct a sparse signal with much fewer samples than the signal itself.
Anisotropic Mesh Adaptation for Image Segmentation Based on Mumford-Shah Functional
As the resolution of digital images increase significantly, the processing of images becomes more challenging in terms of accuracy and efficiency.
Anisotropic Mesh Adaptation for Image Representation
This paper introduces a framework of anisotropic mesh adaptation (AMA) methods to image representation and proposes a GPRAMA method that is based on AMA and greedy-point removal (GPR) scheme.
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