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

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3 Author(s)
Chakrabarti, A. ; Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai ; Rajagopalan, A.N. ; Chellappa, R.

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

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Multimedia, IEEE Transactions on  (Volume:9 ,  Issue: 4 )