No Reference Evaluation in Super-Resolution for CCTV Footage

Adit Chawdhary, Seema Kumari, Atnav Bhavsar, Rajesh Verma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we consider the super-resolution (SR) problem in a real scenario involving CCTV videos. As high-resolution (HR) ground-truth is usually not available for such an application, we suggest using no reference image quality assessment metric (e.g. BRISQUE, in this work [1], [20]), to evaluate two example single-image SR approaches suitable for such a task. Notwithstanding the unavailability of ground-truth, we also demonstrate that such a no-reference quality metric, is also more reliable in evaluating SR methods than popular metrics such as PSNR, SSIM even if a separate standard data with HR-LR pair is used to evaluate SR approaches. Finally, some real examples for CCTV images are shown for comparison of SR approaches using BRISQUE.

Original languageEnglish
Title of host publication2018 13th International Conference on Industrial and Information Systems, ICIIS 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages107-112
Number of pages6
ISBN (Electronic)9781538616765
DOIs
Publication statusPublished - 23-05-2019
Externally publishedYes
Event13th International Conference on Industrial and Information Systems, ICIIS 2018 - Rupnagar, Punjab, India
Duration: 01-12-201802-12-2018

Publication series

Name2018 13th International Conference on Industrial and Information Systems, ICIIS 2018 - Proceedings

Conference

Conference13th International Conference on Industrial and Information Systems, ICIIS 2018
Country/TerritoryIndia
CityRupnagar, Punjab
Period01-12-1802-12-18

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Information Systems
  • Information Systems and Management
  • Industrial and Manufacturing Engineering
  • Artificial Intelligence

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