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Enhancing low resolution images via super-resolution or image synthesis forcross-resolution face recognition has been well studied. Several imageprocessing and machine learning paradigms have been explored for addressing thesame. In this research, we propose Synthesis via Deep Sparse Representationalgorithm for synthesizing a high resolution face image from a low resolutioninput image. The proposed algorithm learns multi-level sparse representationfor both high and low resolution gallery images, along with an identity awaredictionary and a transformation function between the two representations forface identification scenarios. With low resolution test data as input, the highresolution test image is synthesized using the identity aware dictionary andtransformation which is then used for face recognition. The performance of theproposed SDSR algorithm is evaluated on four databases, including one realworld dataset. Experimental results and comparison with existing sevenalgorithms demonstrate the efficacy of the proposed algorithm in terms of bothface identification and image quality measures.

MagnifyMe: Aiding Cross Resolution Face Recognition via Identity Aware Synthesis