Shaode Yu
ABSTRACT
Many interpolation methods have been developed for high visual quality, but fail for preserving image structures. Edges carry heavy structural messages for visual tasks. Importance of edge preservation imposes edge-directed interpolation (EDI) methods a center of focus. How to measure edge-preserving ability has not been mentioned. In this paper, two metrics are proposed to measure the ability by edge-preserving ratio from accuracy and robustness. Performance of four edge-directed interpolation with two traditional methods are evaluated on two groups of standard images with other six commonly-used metrics. Experimental results show that EDI methods are better than traditional methods with highly improved edge-preserving ratio.
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Index Terms
- Performance evaluation of edge-directed interpolation methods for noise-free images
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