Search results for "Similarity criterion"

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Kernel image similarity criterion

2011

This paper presents a family of metrics for assessing image similarity. The methods use the Hilbert-Schmidt Independence Criterion (HSIC) to estimate nonlinear statistical dependence between multidimensional images. The proposed methods have very good theoretical and practical properties. We illustrate the performance in evaluating the quality of natural photographic images, hyperspectral images under different noise levels, in synthetic multiresolution problems, and real pansharpening products.

Estimation theorybusiness.industryHyperspectral imagingPattern recognitionGrayscaleNonlinear systemKernel methodSimilarity criterionKernel (image processing)Computer Science::Computer Vision and Pattern RecognitionArtificial intelligencebusinessImage resolutionMathematics2011 IEEE International Geoscience and Remote Sensing Symposium
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