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The defense date of the thesis is 2009-04-29
The current date is 2019-05-23
URN etd-0428109-102147 Statistics This thesis had been viewed 2076 times. Download 4 times. Author Hsiao-Wei Hou Author's Email Address No Public. Department Communication Engineering Year 2008 Semester 2 Degree Master Type of Document Master's Thesis Language zh-TW.Big5 Chinese Page Count 43 Title GPU-BASE EDGE-DIRECTED IMAGE INTERPOLATION Keyword GPU Image interpolation Super-resolution Edge-directed interpolation Edge-directed interpolation Super-resolution Image interpolation GPU Abstract Image interpolation algorithm for image scaling plays an important role in modern digital display technology. Traditional interpolation methods such as the bilinear interpolation and bicubic interpolation are based on the continuity of the signal. Therefore, when the signal is discontinued, e.g., for edge pixels, it tends to have serious distortions, such as blocking and blurring effects.
In order to solve these unpleasant distortions, In this thesis we propose an edge-directed interpolation method for image interpolation. Our method is an improved version to the iNEDI algorithm. iNEDI classifies an image into two categories of pixels, edge and non-edge pixels. For edge pixels, iNEDI computes the interpolated value using its four nearest neighbors with weighted coefficients estimated from circular masks with variable sizes. For non-edge pixels, it applies the bicubic interpolation to determine the interpolated value. Our proposed method focuses on the improvement of iNEDI in interpolating non-edge pixels. We proposed a second-order polynomial interpolation method whose effectiveness is comparable to that of bicubic method; yet it is more efficent than the bicubic method.
Furthermore, we use the graphics processing unit to speed up the computing by adopting the nVidia Cuda to accelerate the cumputation of Matlab. Experimental results show that our proposed method performs better than iNEDI in balancing both efficiency and effectiveness.
Advisor Committee none - advisor
none - co-chair
none - co-chair
Files Date of Defense 2009-03-18 Date of Submission 2009-04-29