| 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)
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| 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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