Fast video super resolution using deep convolutional networks

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

doi:10.1109/iciiecs.2017.8276067

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Ieee 5 Th International Conference On Identity Security and ...1

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2019

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“…will only replicate or interpolate the information already contained in the image resulting in a large, blurred image of poor quality [20].…”

Section: Ieee 5 Th International Conference On Identity Security and ...mentioning

confidence: 99%

Super-Resolution and Image Re-projection for Iris Recognition

Ribeiro¹,

Uhl²,

Alonso‐Fernandez³

2019

2019 IEEE 5th International Conference on Identity, Security, and Behavior Analysis (ISBA)

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Several recent works have addressed the ability of deep learning to disclose rich, hierarchical and discriminative models for the most diverse purposes. Specifically in the super-resolution field, Convolutional Neural Networks (CNNs) using different deep learning approaches attempt to recover realistic texture and fine grained details from low resolution images. In this work we explore the viability of these approaches for iris Super-Resolution (SR) in an iris recognition environment. For this, we test different architectures with and without a so called image re-projection to reduce artifacts applying it to different iris databases to ver/fy the viability of the different CNNs for iris super-resolution. Results show that CNNs and image re-projection can improve the results specially for the accuracy of recognition systems using a complete different training database performing the transfer learning successfully.

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“…will only replicate or interpolate the information already contained in the image resulting in a large, blurred image of poor quality [20].…”

Section: Ieee 5 Th International Conference On Identity Security and ...mentioning

confidence: 99%