Image Rendering Techniques and Depth Recovery for Light field images
Date Issued
2015
Date
2015
Author(s)
Chuang, Shih-Chung
Abstract
After the first commercial hand-held plenoptic camera was presented by Ng in 2012, the applications and the research of plenoptic cameras were getting richer in recent years. The major difference between the plenoptic camera and the traditional camera is that the plenoptic camera can capture the angular information in the scene and adjust the tradeoff between the spatial resolution and the angular information. With the use of the plenoptic camera, the information we get from a single shot of a camera is enriched. By using the information, we can reconstruct the depth of scene and render an image in different views. Nonetheless, the depth reconstruction and the rendering problems are more complicated than those of the traditional camera, since the plenoptic camera is consisted of a lens array and each lens leads to a micro image. In addition, if we want to render the image precisely, we have to obtain the disparity of each microimage pair and hence the depth information first. Because the rendering problem of the plenoptic camera is closely related to the depth of scene, we have to handle the rendering problem and the depth reconstruction problem at the same time or in sequence. In this thesis, we first obtain the relationship among microlenses by using regression analysis. Then, we use the stereo matching technique to get the depth of scene and the image-based rendering technique to improve the quality of the reconstructed image. Besides, we use quad-tree and white image to improve the performance of proposed method. In the end, we compare the result of the proposed algorithm with the previous work for rendering the microimages acquired from the plenoptic camera rendering and depth reconstruction and show that the proposed algorithm has better performance.
Subjects
focused plenoptic camera
light field
image beased rendering
stereo matching
Type
thesis
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