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Hybrid Parametric-Nonparametric Modeling with...
Conference

Hybrid Parametric-Nonparametric Modeling with Application to Natural Image Upsampling

Abstract

Linear autoregressive (AR) model is widely used in signal processing. Usually the AR models are solved by classical least square (LS) method. An important issue with the LS solution of the AR model, which has been seemingly overlooked, is its numerical stability. The issue is related to the rank condition of the design matrix. We observed, in case of natural images, that the probability of numerical rank deficiency is rather high, roughly …

Authors

Zhai G; Wu X

Pagination

pp. 1393-1396

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

September 1, 2011

DOI

10.1109/icip.2011.6115699

Name of conference

2011 18th IEEE International Conference on Image Processing