Super-Resolution of Face Images Using Kernel PCA-Based Prior

Authors:
Ayan Chakrabarti;A. N. Rajagopalan;Rama Chellappa
Affiliations:
Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai;-;-
Venue:
IEEE Transactions on Multimedia
Year:
2007

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Abstract

We present a learning-based method to super-resolve face images using a kernel principal component analysis-based prior model. A prior probability is formulated based on the energy lying outside the span of principal components identified in a higher-dimensional feature space. This is used to regularize the reconstruction of the high-resolution image. We demonstrate with experiments that including higher-order correlations results in significant improvements