Presentation | 2019-02-20 Real-time noise level detection algorithm for video Chinatsu Mori, Seiichi Gohshi, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | 4K resolution is a standard for TV market and recently 8K broadcasting started. Quality of video such as high-resolution, and low noise, is an essential requirement in video systems. Unfortunately, there is a tradeoff between noise and resolution: noise in video increases in proportion to the resolution during the process of photo-electric conversion in an imaging device. A noise reducer (NR) is a signal processing method to reduce noise. However, accurate noise level is needed for NR to work effectively. The noise level is deeply related to lighting conditions, and adjusting NR parameters including the noise level in real-time is required. Although frame difference is used to detect noise level, the frame difference consists of moving objects and noise. It is necessary to detect the frame difference caused only by noise. Moreover, complex algorithm cannot be applied to real-time video systems. In this paper, two noise level detection algorithms are proposed. We concluded the combination of the two methods can detect variety of noise level accurately in real-time conditions. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Video noise reducer / 4K / 8K / Real-time / Non-linear signal processing / Image quality |
Paper # | ITS2018-75,IE2018-96 |
Date of Issue | 2019-02-12 (ITS, IE) |
Conference Information | |
Committee | ITS / IE / ITE-MMS / ITE-HI / ITE-ME / ITE-AIT |
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Conference Date | 2019/2/19(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Hokkaido Univ. |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Image Processing, etc. |
Chair | Takayoshi Yokota(Tottori Univ.) / Takayuki Hamamoto(Tokyo Univ. of Science) / Norihiko Ishii(NHK) / Masayuki Sato(Kitakyushu Univ.) / Norio Tagawa(Tokyo Metropolitan Univ.) / Nobuhiko Mukai(Tokyo City Univ.) |
Vice Chair | Masahiro Fujii(Utsunomiya Univ.) / Tomotaka Wada(Kansai Univ.) / Hideaki Kimata(NTT) / Kazuya Kodama(NII) / / / Hiroyuki Arai(Nippon Institute of Technology) / Hisaki Nate(Tokyo Polytechnic Univ.) |
Secretary | Masahiro Fujii(Saitama Univ.) / Tomotaka Wada(Univ. of Tokyo) / Hideaki Kimata(KDDI Research) / Kazuya Kodama(Nagoya Univ.) / (NHK) / (NTT) / Hiroyuki Arai(NHK) / Hisaki Nate(Hokkaido Univ.) |
Assistant | Msataka Imao(Mitsubishi Electric) / Yanlei Gu(Univ. of Tokyo) / Kenshi Saho(Toyama Prefectural Univ.) / Kouichiro Hashiura(Akita Prefectural Univ.) / Kazuya Hayase(NTT) / Yasutaka Matsuo(NHK) |
Paper Information | |
Registration To | Technical Committee on Intelligent Transport Systems Technology / Technical Committee on Image Engineering / Technical Group on Multi-media Storage / Technical Group on Human Information / Technical Group on Media Engineering / Technical Group on Artistic Image Technology |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Real-time noise level detection algorithm for video |
Sub Title (in English) | |
Keyword(1) | Video noise reducer |
Keyword(2) | 4K |
Keyword(3) | 8K |
Keyword(4) | Real-time |
Keyword(5) | Non-linear signal processing |
Keyword(6) | Image quality |
1st Author's Name | Chinatsu Mori |
1st Author's Affiliation | Kogakuin University(Kogakuin Univ.) |
2nd Author's Name | Seiichi Gohshi |
2nd Author's Affiliation | Kogakuin University(Kogakuin Univ.) |
Date | 2019-02-20 |
Paper # | ITS2018-75,IE2018-96 |
Volume (vol) | vol.118 |
Number (no) | ITS-449,IE-450 |
Page | pp.pp.153-158(ITS), pp.153-158(IE), |
#Pages | 6 |
Date of Issue | 2019-02-12 (ITS, IE) |