Regularization based super-resolution image processing algorithm using edge-adaptive non-local means filter

Dae Ok Kim, Hyeran Byun

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

2 Citations (Scopus)

Abstract

Super-Resolution (SR) image reconstruction is a technology to reconstruct multiple low-resolution images into one or multiple high-resolution images. As the use of digital camera is recently increasing, the advancement of super-resolution technology gets a great attention. In this study, we propose a regularization-based Super-Resolution algorithm that utilizes an Edge-adaptive Non- Local Means filter. We compare the result of image reconstruction through the algorithm that we proposed and that of image reconstruction through existing studies. As a result, we could verify that a better result would be obtained for regularization function when using an Edge-adaptive Non-Local Means filter rather than using a Non-Local Means filter. We could also obtain much higher PSNR(Peak Signal-to Noise Ratio) than using a Bilateral Total Variation(BTV) method.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013
DOIs
Publication statusPublished - 2013 Apr 10
Event7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013 - Kota Kinabalu, Malaysia
Duration: 2013 Jan 172013 Jan 19

Other

Other7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013
CountryMalaysia
CityKota Kinabalu
Period13/1/1713/1/19

Fingerprint

Image reconstruction
Image processing
Image resolution
Digital cameras
Signal to noise ratio

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

Cite this

Kim, D. O., & Byun, H. (2013). Regularization based super-resolution image processing algorithm using edge-adaptive non-local means filter. In Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013 [78] https://doi.org/10.1145/2448556.2448634
Kim, Dae Ok ; Byun, Hyeran. / Regularization based super-resolution image processing algorithm using edge-adaptive non-local means filter. Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013. 2013.
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Kim, DO & Byun, H 2013, Regularization based super-resolution image processing algorithm using edge-adaptive non-local means filter. in Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013., 78, 7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013, Kota Kinabalu, Malaysia, 13/1/17. https://doi.org/10.1145/2448556.2448634

Regularization based super-resolution image processing algorithm using edge-adaptive non-local means filter. / Kim, Dae Ok; Byun, Hyeran.

Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013. 2013. 78.

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

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AB - Super-Resolution (SR) image reconstruction is a technology to reconstruct multiple low-resolution images into one or multiple high-resolution images. As the use of digital camera is recently increasing, the advancement of super-resolution technology gets a great attention. In this study, we propose a regularization-based Super-Resolution algorithm that utilizes an Edge-adaptive Non- Local Means filter. We compare the result of image reconstruction through the algorithm that we proposed and that of image reconstruction through existing studies. As a result, we could verify that a better result would be obtained for regularization function when using an Edge-adaptive Non-Local Means filter rather than using a Non-Local Means filter. We could also obtain much higher PSNR(Peak Signal-to Noise Ratio) than using a Bilateral Total Variation(BTV) method.

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Kim DO, Byun H. Regularization based super-resolution image processing algorithm using edge-adaptive non-local means filter. In Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013. 2013. 78 https://doi.org/10.1145/2448556.2448634