A performance evaluation of image interpolation and superresolution algorithms
2011 International Conference on Multimedia Technology, ICMT 2011（2011）
摘要
Image interpolation and superresolution can be considered as a problem of estimating a high-resolution image from a single or multiple registered low-resolution images. In this paper we classify image interpolation and super-resolution estimators into linear and nonlinear, fixed and signal adaptive model, local and non-local, learning and non-learning-based, back-projection and non-back-projection. We compare the performance of different estimators for various gray and color images by using both objective measurements, such as MSSIM and PSNR, and subjective observation. © 2011 IEEE.
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关键词
backprojection,image interpolation,local statistical,non-olcal,superresolution,image reconstruction,spatial resolution,linear model,backpropagation,classification algorithms,image resolution,triangular mesh,image registration,computational complexity,interpolation,learning artificial intelligence,edge detection
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