Presentation | 2015-05-15 Kernel Estimation using Normalized Sparsity Measure and its Application to Video Restoration Yusuke Nojima, Xian-Hua Han, Yen-Wei Chen, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Image and video restoration is to recover the high-quality (HQ) image/video from low-quality (LQ) one due to the possible blurring during imaging procedure, which needs to firstly estimate the blurring function, also called kernel function. The conventional approaches generally assume the kernel function can be approximated by mathematical formula such as Gaussian function, which can only deal with the limited case such as only the focal blurring. This study proposes a nonparameteric approach to estimate the kernel function produced by any type of blurring procedure via adding constraint with L1 norm on kernel. In addition, normalized sparsity measure is proposed as the prior constraint of the estimated HQ image for achieving accurate kernel. Furthermore, considering both temporal and spatial gradient constraint into video restoration procedure, we validate the promising HQ video can be achieved. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Video restoration / Sparsity / L1/L2 norm / Temporal and spatial gradient |
Paper # | SIP2015-15,IE2015-15,PRMU2015-15,MI2015-15 |
Date of Issue | 2015-05-07 (SIP, IE, PRMU, MI) |
Conference Information | |
Committee | PRMU / MI / IE / SIP |
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Conference Date | 2015/5/14(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Kazuhiko Sumi(Aoyama Gakuin Univ.) / Akinobu Shimizu(Tokyo Univ. of Agric. and Tech.) / Toshiaki Fujii(Nagoya Univ.) / Yoshinobu Kajikawa(Kansai Univ.) |
Vice Chair | Koichi Kise(Osaka Pref. Univ.) / Shuji Senda(NEC) / Yoshitaka Masutani(Hiroshima City Univ.) / Kensaku Mori(Nagoya Univ.) / Seishi Takamura(NTT) / Takayuki Hamamoto(Tokyo Univ. of Science) / Osamu Houshuyama(NEC) / Makoto Nakashizuka(Chiba Inst. of Tech.) |
Secretary | Koichi Kise(Kyushu Univ.) / Shuji Senda(Omron) / Yoshitaka Masutani(Tokushima Univ.) / Kensaku Mori(Kinki Univ.) / Seishi Takamura(NHK) / Takayuki Hamamoto(KDDI R&D Labs.) / Osamu Houshuyama(Ritsumeikan Univ.) / Makoto Nakashizuka(NEC) |
Assistant | Wataru Ohyama(Mie Univ.) / Mitsuru Anbai(DENSO IT Lab.) / Takayuki Kitasaka(Aichi Inst. of Tech.) / Hidetaka Hontani(Nagoya Inst. of Tech.) / Shohei Matsuo(NTT) / Takamichi Miyata(Chiba Inst. of Tech.) / Takamichi Miyata(Chiba Inst. of Tech.) |
Paper Information | |
Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Medical Imaging / Technical Committee on Image Engineering / Technical Committee on Signal Processing |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Kernel Estimation using Normalized Sparsity Measure and its Application to Video Restoration |
Sub Title (in English) | |
Keyword(1) | Video restoration |
Keyword(2) | Sparsity |
Keyword(3) | L1/L2 norm |
Keyword(4) | Temporal and spatial gradient |
1st Author's Name | Yusuke Nojima |
1st Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
2nd Author's Name | Xian-Hua Han |
2nd Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
3rd Author's Name | Yen-Wei Chen |
3rd Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
Date | 2015-05-15 |
Paper # | SIP2015-15,IE2015-15,PRMU2015-15,MI2015-15 |
Volume (vol) | vol.115 |
Number (no) | SIP-22,IE-23,PRMU-24,MI-25 |
Page | pp.pp.77-82(SIP), pp.77-82(IE), pp.77-82(PRMU), pp.77-82(MI), |
#Pages | 6 |
Date of Issue | 2015-05-07 (SIP, IE, PRMU, MI) |