Study on Lossless Coding Scheme for Super High Resolution MovingImages aimed to Theoretical Compression Boundary
| Project/Area Number |
22560361
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Communication/Network engineering
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| Research Institution | Utsunomiya University |
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Principal Investigator |
KATO Shigeo 宇都宮大学, 大学院・工学研究科, 教授 (00143529)
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| Co-Investigator(Kenkyū-buntansha) |
HASEGAWA Madoka 宇都宮大学, 大学院・工学研究科, 准教授 (80322014)
TANAKA Yuichi 宇都宮大学・東京農工大学・, 大学院・工学研究科・大学院・生物システム応用科学府, 助教(H22-23)・准教授(H24) (10547029)
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| Project Period (FY) |
2010 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2012: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2011: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2010: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 符号化 / 画像データ圧縮 / 情報源符号化 / 可逆圧縮 / 動画像信号 / 情報工学 / データ圧縮 / 画像符号化 / 算術符号 / 情報通信工学 |
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| Research Abstract |
The goal of this study is to reveal the theoretical lossless compression boundary for image signals,and to develop the basic concept of scalable transmission system for super-high resolution moving images. The image coding scheme is separated into two parts, that is to say,one is a signal conversion part and another is an entropy coding part. In this study,we proposed new methods for each part. First,as a signal conversion part, we proposed an inter frame coding method with motion compensation and Markov model. Next, we proposed a fast multi-frame interpolation method. Also we studied on an entropy coding using arithmetic coding with the extension of the information source.
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Report
(4 results)
Research Products
(56 results)
