| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2010: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2009: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2008: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Research Abstract |
In this study, an image decomposition into a set of components with different features is proposed. The proposed decomposition is achieved with learning of representative micro structures of an image. The image is decomposed into components ; each of them is generated by a linear combination of the translated microstructures. In the learning, the sparsity prior is imposed on the occurrences of the microstructures. The learning of the representative structure is applied to image inpainting, which is recovery of the original image from a degraded image with missing pixels. By using the learning, the micro structures of the original image are successfully learnt from the degraded image. Simultaneously, the missing pixels are recovered with the learnt structures.
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