首页vivado读取txt文件中rgb数据进行图像双线性插值处理

vivado读取txt文件中rgb数据进行图像双线性插值处理

时间: 2024-05-16 13:14:34 浏览: 151

首先，你需要将txt文件中的rgb数据读取到Vivado中。你可以使用Vivado中的IP核来实现这一步骤，比如使用Block RAM或者FIFO IP核来存储和读取数据。读取数据后，你可以使用Vivado HLS来编写并生成双线性插值的IP核。下面是一些实现双线性插值的参考代码： ```c++ void bilinear_interpolation(unsigned char *in_img, unsigned char *out_img, unsigned int in_w, unsigned int in_h, unsigned int out_w, unsigned int out_h) { // Calculate scaling factors float scale_w = (float)in_w / (float)out_w; float scale_h = (float)in_h / (float)out_h; // Loop through output image pixels for (int y = 0; y < out_h; y++) { for (int x = 0; x < out_w; x++) { // Calculate input image coordinates float x_in = (float)x * scale_w; float y_in = (float)y * scale_h; // Calculate surrounding pixel coordinates int x1 = (int)floor(x_in); int x2 = (int)ceil(x_in); int y1 = (int)floor(y_in); int y2 = (int)ceil(y_in); // Calculate distance to surrounding pixels float dx1 = x_in - x1; float dx2 = x2 - x_in; float dy1 = y_in - y1; float dy2 = y2 - y_in; // Get surrounding pixel colors unsigned char *p1 = &in_img[y1 * in_w + x1 * 3]; unsigned char *p2 = &in_img[y1 * in_w + x2 * 3]; unsigned char *p3 = &in_img[y2 * in_w + x1 * 3]; unsigned char *p4 = &in_img[y2 * in_w + x2 * 3]; // Calculate weighted average of surrounding pixels for (int c = 0; c < 3; c++) { float val = (float)p1[c] * dx2 * dy2 + (float)p2[c] * dx1 * dy2 + (float)p3[c] * dx2 * dy1 + (float)p4[c] * dx1 * dy1; out_img[y * out_w * 3 + x * 3 + c] = (unsigned char)val; } } } } ``` 你可以将上述代码复制到Vivado HLS中，并进行综合和实现，生成IP核。然后，你可以将该IP核添加到Vivado的设计中，并进行连接和实现，最终生成bit文件。

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