Joint image transmission via convex optimization
Project/Area Number |
24560443
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Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Communication/Network engineering
|
Research Institution | Chiba Institute of Technology |
Principal Investigator |
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Project Period (FY) |
2012-04-01 – 2015-03-31
|
Project Status |
Completed (Fiscal Year 2014)
|
Budget Amount *help |
¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
Fiscal Year 2014: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2012: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
|
Keywords | 凸最適化 / 画像符号化 / 画像処理 / 画像復元 / マルチメディア / 画像ノイズ除去 / 画像リターゲティング / 画像伝送 / 画像リターゲッティング / 画像インペインティング |
Outline of Final Research Achievements |
Convex optimization based methods are widely proposed in image processing research field. Such methods utilize prior information of desired result by representing the information as a convex objective function. In this research project, we tried to push the boundary of the convex optimization based methods towards three important problems --- image inpainting, image retargeting and image coding--- which are the building blocks of end-to-end image transmission system. We proposed a low-rank matrix based image inpainting method, an image retargeting method by focusing on ROI (region of interest) movement, and a post processing method for coded chrominance component by using the luminance-chrominance correlation.
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Report
(4 results)
Research Products
(27 results)