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Communication Dans Un Congrès Année : 2014

Modified Back Projection Kernel Based Image Super Resolution

Iiris Lüsi
  • Fonction : Auteur
Armen Sahakyan
  • Fonction : Auteur
Andres Traumann
  • Fonction : Auteur
Anastasia Bolotnikova
  • Fonction : Auteur
Morteza Daneshmand
  • Fonction : Auteur
Rudolf Kiefer
  • Fonction : Auteur
Alvo Aabloo
  • Fonction : Auteur
Hasan Demirel
  • Fonction : Auteur


In this paper, we propose a new super resolution technique based on iterative interpolation followed by registering them using back projection (BP). Firstly the low resolution image is interpolated and then decimated to four low resolution images. The four low resolution images are interpolated and registered by using BP in order to generate a sharper high resolution image then high resolution image is down sampled and back to the first step. The proposed method has been tested on some bench mark images. The peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) results as well as the visual results shows the superiority of the proposed technique over the conventional and state-of-art image super resolution techniques. In Average, the PSNR is 2.72 dB higher than the bicubic interpolation.

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Dates et versions

hal-03285336 , version 1 (13-07-2021)



Pejman Rasti, Iiris Lüsi, Armen Sahakyan, Andres Traumann, Anastasia Bolotnikova, et al.. Modified Back Projection Kernel Based Image Super Resolution. 2014 2nd International Conference on Artificial Intelligence, Modelling & Simulation (AIMS), 2014, Madrid, Spain. pp.161-165, ⟨10.1109/AIMS.2014.21⟩. ⟨hal-03285336⟩


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