| Summary: | 博士 === 國立臺灣大學 === 資訊工程學研究所 === 100 === Recently, the application of image and video grows massively in multiple fields, including medical science, astronomy, traffic application, surveillance system, industrial inspection, and so on. In addition, the applications on consumer electronics are closely related to our daily life. For example: film industry, digital still camera, digital video camcorder, mobile device or toy with camera module, and so on.
Digital image processing technology plays an important role in abovementioned applications. In our research, we propose a solution to help automatically detect defect optical lens from production lines: Lens Shading Correction for Dirt Detection. Besides, we propose Conformity Preprocessing for 3D Stereo Camera to improve the color consistency between different devices. Next, we provide an Automatic Skin Color Beautification technology to embellish the portrait image automatically. Moreover, we propose an image processing technology to fuse macro and infinite images to extend the depth-of-field: Clear Focused Image from Macro and Infinite Images. Finally, we provide an improved post-processing technology (Defocus Magnification with CUDA) to make the subject in photographs more prominent.
The Experimental result of Lens Shading Correction for Dirt Detection shows that our proposed method performs outstandingly well. By obviating the effects of imperfect optical designs, the proposed Conformity Preprocessing for 3D Stereo Camera shows that the color consistency between different devices can be improved significantly. Moreover, we propose three digital image processing approaches to practical camera applications. The results of the proposed Automatic Skin Color Beautification technology shows that it can be applied in various light environments, and different kinds of skin colors. Moreover, the results of our Clear Focused Image from Macro and Infinite Images technology can extend the depth-of-field in the condition which has good image registration and no camera magnification effect. Lastly, the results of Defocus Magnification technology show that our method can generate more continuous defocus map, and that the processed results are more uniform than Bae’s results.
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