| 图像的提升小波变换的FPGA实现 |
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| 引用本文： | 吴莹莹,那柏林,王蔚生. 图像的提升小波变换的FPGA实现[J]. 现代显示, 2012, 23(8): 36-42 |
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| 作者姓名： | 吴莹莹 那柏林 王蔚生 |
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| 作者单位： | 华东师范大学信息学院,上海,200241 |
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| 摘 要： | 由2D图像转换到3D图像,关键是从原始已知的2D图像(images of limited depth of field(DOF))中生成深度图像。文章提出的是如何在FPGA上实时的对图像进行小波分析,以便后续利用小波分析的结果得到深度图像。与传统的卷积方法相比,该硬件框架提升了运算速度,简化了结构。
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| 关 键 词： | 深度图像 提升算法 小波变换 现场可编程门阵列(FPGA) |
| 收稿时间： | 2012-07-23 |
Lifting Wavelet Transform of Image Based on FPGA |
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| WU Ying-ying,NA Bai-lin,WANG Wei-sheng. Lifting Wavelet Transform of Image Based on FPGA[J]. Advanced Display, 2012, 23(8): 36-42 |
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| Authors: | WU Ying-ying NA Bai-lin WANG Wei-sheng |
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| Affiliation: | (School of Information East China Normal University, Shanghai 200241, China) |
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| Abstract: | One of the most important factors which convert the 2D image to 3D image is to generate depth images from the original 2D images (images of limited depth of field(DOF)). This paper is how to realize wavelet analysis of the real-time image in FPGA for the depth image. Compared to the traditional convolution method, the hardware frame mentioned in the paper improves arithmetic speed and facilitate the structure. |
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| Keywords: | depth image lifting arithmetic wavelet transform FPGA |
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