Presentation | 2012-06-15 An Approach for Deinterlacing using Cost Optimaization and Motion Detection History Tatsuo MAENO, Hiroshi TSUTSUI, Takao ONOYE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a deinterlacing method based on an inpainting deinterlacing method called spatio-temporal inpainting method (STIM), which is one of the most accurate deinterlacing methods. The proposed method employs additional constraints for the cost optimization and utilizes motion detection history to improve the accuracy of edge detection and motion detection, respectively. Experimental results show that the proposed method achieves 1.9 dB higher PSNR than STIM on average. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | deinterlacing / motion detection / cost optimization |
Paper # | SIS2012-15 |
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Committee | SIS |
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Conference Date | 2012/6/7(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Smart Info-Media Systems (SIS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Approach for Deinterlacing using Cost Optimaization and Motion Detection History |
Sub Title (in English) | |
Keyword(1) | deinterlacing |
Keyword(2) | motion detection |
Keyword(3) | cost optimization |
1st Author's Name | Tatsuo MAENO |
1st Author's Affiliation | Dept. of Information Systems Engineering, Graduate School of Information Science and Technology, Osaka University() |
2nd Author's Name | Hiroshi TSUTSUI |
2nd Author's Affiliation | Dept. of Communications and Computer Engineering, Graduate School of Informatics, Kyoto University |
3rd Author's Name | Takao ONOYE |
3rd Author's Affiliation | Dept. of Information Systems Engineering, Graduate School of Information Science and Technology, Osaka University |
Date | 2012-06-15 |
Paper # | SIS2012-15 |
Volume (vol) | vol.112 |
Number (no) | 78 |
Page | pp.pp.- |
#Pages | 6 |
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