Image enhancement 3D defocusing based on defocus map estimation
A robust 3D Defocusing algorithm based on defocus map estimation is presented in this report. We see the progress of 3D technology through history. And then, an advance program with two frames of stereo images as inputs is developing to generate a 3D Defocusing Vision. And therefore, we enhance the...
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sg-ntu-dr.10356-459092023-07-07T17:07:52Z Image enhancement 3D defocusing based on defocus map estimation Tang, Jiaqi. Tan Yap Peng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems A robust 3D Defocusing algorithm based on defocus map estimation is presented in this report. We see the progress of 3D technology through history. And then, an advance program with two frames of stereo images as inputs is developing to generate a 3D Defocusing Vision. And therefore, we enhance the construction of 3D vision based on some original algorithms, such as defocus map estimation, corresponding matching. In the defocus map estimation, we use multi-detectors to generate single image defocus map. And in this method, we may avoid some problems in the previous research in stereo matching based depth map estimation. And a corresponding matching algorithm is developed to correct the stereo pair of defocus maps. Bachelor of Engineering 2011-06-23T07:13:56Z 2011-06-23T07:13:56Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/45909 en Nanyang Technological University 49 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Tang, Jiaqi. Image enhancement 3D defocusing based on defocus map estimation |
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A robust 3D Defocusing algorithm based on defocus map estimation is presented in this report. We see the progress of 3D technology through history. And then, an advance program with two frames of stereo images as inputs is developing to generate a 3D Defocusing Vision. And therefore, we enhance the construction of 3D vision based on some original algorithms, such as defocus map estimation, corresponding matching. In the defocus map estimation, we use multi-detectors to generate single image defocus map. And in this method, we may avoid some problems in the previous research in stereo matching based depth map estimation. And a corresponding matching algorithm is developed to correct the stereo pair of defocus maps. |
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Tan Yap Peng |
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Tan Yap Peng Tang, Jiaqi. |
format |
Final Year Project |
author |
Tang, Jiaqi. |
author_sort |
Tang, Jiaqi. |
title |
Image enhancement 3D defocusing based on defocus map estimation |
title_short |
Image enhancement 3D defocusing based on defocus map estimation |
title_full |
Image enhancement 3D defocusing based on defocus map estimation |
title_fullStr |
Image enhancement 3D defocusing based on defocus map estimation |
title_full_unstemmed |
Image enhancement 3D defocusing based on defocus map estimation |
title_sort |
image enhancement 3d defocusing based on defocus map estimation |
publishDate |
2011 |
url |
http://hdl.handle.net/10356/45909 |
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1772828814547615744 |