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Communication dans un congrès

Modified Back Projection Kernel Based Image Super Resolution

Abstract :

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.

Type de document :
Communication dans un congrès
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https://hal.univ-angers.fr/hal-03285336
Contributeur : Okina Université d'Angers <>
Soumis le : mardi 13 juillet 2021 - 11:37:16
Dernière modification le : mercredi 14 juillet 2021 - 03:43:29

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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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