Enhanced film grain noise removal for high fidelity video coding

Inseong Hwang, Jinwoo Jeong, Jangwon Choi, Yoonsik Choe

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

4 Citations (Scopus)

Abstract

In this paper, we propose a novel technique for film grain noise removal, which can be adopted in high fidelity video coding. Film grain noise enhances the natural appearance of high fidelity video, therefore it is should be preserved. However, film grain noise is a burden to typical video compression systems because it has relatively large energy level in the high frequency region. In order to improve the coding performance while preserving film grain noise, the noise removal and synthesis process is used. We propose a film grain noise removal technology in the pre-processing step. In pre-processing step, film grain noise is removed by using temporal, spatial and inter-color correlation. Specially, color image denoisng using inter color prediction provides good denoising performance in noise concentrated B plane because film grain noise has inter-color correlation in the RGB domain. The results show that the coding gain of denoised video is higher than for previous works, while the visual quality of the final reconstructed video is well preserved.

Original languageEnglish
Title of host publicationProceedings - 2013 International Conference on Information Science and Cloud Computing Companion, ISCC-C 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages668-674
Number of pages7
ISBN (Electronic)9781479952458
DOIs
Publication statusPublished - 2014 Dec 3
Event2013 International Conference on Information Science and Cloud Computing Companion, ISCC-C 2013 - Guangzhou, China
Duration: 2013 Dec 72013 Dec 8

Publication series

NameProceedings - 2013 International Conference on Information Science and Cloud Computing Companion, ISCC-C 2013

Other

Other2013 International Conference on Information Science and Cloud Computing Companion, ISCC-C 2013
CountryChina
CityGuangzhou
Period13/12/713/12/8

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Software

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  • Cite this

    Hwang, I., Jeong, J., Choi, J., & Choe, Y. (2014). Enhanced film grain noise removal for high fidelity video coding. In Proceedings - 2013 International Conference on Information Science and Cloud Computing Companion, ISCC-C 2013 (pp. 668-674). [6973668] (Proceedings - 2013 International Conference on Information Science and Cloud Computing Companion, ISCC-C 2013). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCC-C.2013.69