VLSI Implementation and Edge Adaptive Interpolation of Stereo Image
碩士 === 國立雲林科技大學 === 電子與資訊工程研究所 === 93 === With the fast advances of multimedia application field, the technology of image display has made further progress from 2D toward 3D. As watching with traditionally 3D images needs complicated correction and great amount of erecting cost, this thesis puts f...
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ndltd-TW-093YUNT53930572015-10-13T11:54:00Z http://ndltd.ncl.edu.tw/handle/22449296889839584568 VLSI Implementation and Edge Adaptive Interpolation of Stereo Image 立體影像之適應性邊緣插補技術與VLSI實現 Han-Chang Chung 鍾漢章 碩士 國立雲林科技大學 電子與資訊工程研究所 93 With the fast advances of multimedia application field, the technology of image display has made further progress from 2D toward 3D. As watching with traditionally 3D images needs complicated correction and great amount of erecting cost, this thesis puts forward a brand-new way of erecting, and makes use of the relation and characteristic on the edge near pixel to improve the resolution of the images. Because the proposed method is similar to the intra-field interpolation method of deinterlacing algorithm, so we will discuss it with the intra-field interpolation method. The main purpose of this research is to improve the resolution of three-dimensional images. In general the traditional interpolation is fast and low cost. But the images easily cause the edge jagged and blurred effects. So this thesis looks for the most proper interpolative pixels by following the characteristics of the edge. The experimental results show that there are satisfactory results in strengthening the resolution of the images by our method. In addition, we proposed a low-cost hardware design for interpolation according to the proposed algorithm. After synthesis and simulation, the operating frequency of the designed edge adaptive interpolation architecture can up to 109.7MHz. based on the cell-based approach in UMC 0.18um process. Ming Hwa Sheu 許明華 學位論文 ; thesis 73 zh-TW |
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碩士 === 國立雲林科技大學 === 電子與資訊工程研究所 === 93 === With the fast advances of multimedia application field, the technology of image display has made further progress from 2D toward 3D. As watching with traditionally 3D images needs complicated correction and great amount of erecting cost, this thesis puts forward a brand-new way of erecting, and makes use of the relation and characteristic on the edge near pixel to improve the resolution of the images. Because the proposed method is similar to the intra-field interpolation method of deinterlacing algorithm, so we will discuss it with the intra-field interpolation method.
The main purpose of this research is to improve the resolution of three-dimensional images. In general the traditional interpolation is fast and low cost. But the images easily cause the edge jagged and blurred effects. So this thesis looks for the most proper interpolative pixels by following the characteristics of the edge. The experimental results show that there are satisfactory results in strengthening the resolution of the images by our method. In addition, we proposed a low-cost hardware design for interpolation according to the proposed algorithm. After synthesis and simulation, the operating frequency of the designed edge adaptive interpolation architecture can up to 109.7MHz. based on the cell-based approach in UMC 0.18um process.
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Ming Hwa Sheu |
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Ming Hwa Sheu Han-Chang Chung 鍾漢章 |
author |
Han-Chang Chung 鍾漢章 |
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Han-Chang Chung 鍾漢章 VLSI Implementation and Edge Adaptive Interpolation of Stereo Image |
author_sort |
Han-Chang Chung |
title |
VLSI Implementation and Edge Adaptive Interpolation of Stereo Image |
title_short |
VLSI Implementation and Edge Adaptive Interpolation of Stereo Image |
title_full |
VLSI Implementation and Edge Adaptive Interpolation of Stereo Image |
title_fullStr |
VLSI Implementation and Edge Adaptive Interpolation of Stereo Image |
title_full_unstemmed |
VLSI Implementation and Edge Adaptive Interpolation of Stereo Image |
title_sort |
vlsi implementation and edge adaptive interpolation of stereo image |
url |
http://ndltd.ncl.edu.tw/handle/22449296889839584568 |
work_keys_str_mv |
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