图像的提升小波变换的FPGA实现

Lifting Wavelet Transform of Image Based on FPGA

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。

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.