Heterogeneous parallel implementation of single image super resolution using transformed self-exemplars on multicore &amp; TitanX GPU

Tanay, K Chaitanya Pavan; Kartheek, P D; Baruah, Pallav Kumar; Khanna, Srikanth; Chandrasekaran, V.

doi:10.1109/pdgc.2016.7913217

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2020

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“…Aydin et al [22] have implemented a parallel image segmentation algorithm on multi‐core central processing unit (CPU) with OpenMP. A SISR method using self‐example learning is implemented on a heterogeneous parallel computing platform by Tanay et al [23], where they achieve 8–12 times speed‐up. Therefore, from the above study, it can be envisaged that the MS image SR method based on dictionary learning using multi‐core implementation is likely to yield faster and better results than traditional sequential implementations.…”

Section: Research Backgroundmentioning

confidence: 99%