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Face Image Hallucination Under Illumination Variation

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Image resolution and variable illumination conditions in the real word have significant effects on face recognition. In this paper, a new face image hallucination method under illumination variation is proposed. In order to hallucinate a high-resolution face image with frontal illumination from a low-resolution face image with non-frontal illumination, in the proposed method, the nonsubsampled contourlet transform is first used to estimate the reflectance component and features affected by illumination variation from an input low-resolution face image with non-frontal illumination, then a super-resolution approach via adaptively local sparse representation and global reconstruction constraint is presented to enhance the resolution of the reflectance component for the input low-resolution face image, and the low-resolution features affected by the illumination variation are normalized and enhanced by the Kernel Principal Component Analysis and bicubic interpolation techniques. Finally, the high-resolution face image with frontal illumination is hallucinated by combining the reconstructed high-resolution reflectance component and the enhanced illumination features. Experimental results on Extended Yale B face database show that under illumination variations, the proposed method can deal with uneven illuminations in face image and reconstruct the high-resolution face image with frontal illumination effectively compared with some other super-resolution methods.
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Keywords: FACE HALLUCINATION; KERNEL PRINCIPAL COMPONENT ANALYSIS; NONSUBSAMPLED CONTOURLET TRANSFORM; SPARSE REPRESENTATION; SUPER-RESOLUTION; VARIANT ILLUMINATION

Document Type: Research Article

Publication date: November 1, 2014

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  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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