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Image interpolation using shearlet based iterative refinement

: Lakshman, H.; Lim, W.Q.; Schwarz, H.; Marpe, D.; Kutyniok, G.; Wiegand, T.


Image communication 36 (2015), S.83-94
ISSN: 0923-5965
Fraunhofer HHI ()

This paper proposes an image interpolation algorithm exploiting sparse representation for natural images. It involves three main steps: (a) obtaining an initial estimate of the high resolution image using FIR filtering, (b) promoting sparsity in a selected dictionary through hard thresholding to obtain an approximation, and (c) extracting high frequency information from the approximation to refine the initial estimate. For the sparse modeling, a shearlet dictionary is chosen to yield a multiscale directional representation. The proposed algorithm is compared to several state-of-the-art methods to assess its objective and subjective performance. Compared to the cubic spline interpolation method, an average PSNR gain of around 0.8 dB is observed over a dataset of 200 images.