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Depth image based hole-filling algorithm for 2D to 3D conversion

2D to 3D conversion technologies had been researching with developing of 3D display. Existing 2D movies can be converted to 3D stereoscopic movies easily with low cost using conversion technology. Depth image-based rendering (DIBR) technique is applied to generating a new viewpoint image. After converting there are holes of the new view point. Filling in these holes can be determined with the total quality of a stereo movie. There are several methods to fill out the holes. [Criminisi 2004] proposed exemplar-based inpainting technique which copies the texture with the highest priority. This method fills efficiently out the holes but it takes long time for full HD image because it has to check and calculate the full image. Another big problem is flickering in case of sequential images. [J. Choi 2012] used depth image to fill holes. But this algorithm also didn't consider the sequential images. These algorithms use the same image with holes. Next frame fills another texture so it can generate flickering and it can dizzy for stereo images.