您遇到的主要错误是该算法指定r_corr和r_src以min（（xDim-1）/ 2，（yDim-1）/
2）为单位。需要执行此操作以标准化计算，以便参数值不依赖于源图像的大小。有了代码，您将需要为paramB使用更小的值，例如，对于paramB =0.00000002（对于尺寸为2272 x 1704的图像），它对我来说可以正常工作。
在计算与中心的差异时，还存在一个错误，该错误会导致生成的图像与源图像相比旋转180度。
修复这两个错误应会为您提供以下信息：
protected static int[] correction2(int[] pixels, int width, int height) { int[] pixelsCopy = pixels.clone(); // parameters for correction double paramA = -0.007715; // affects only the outermost pixels of the image double paramB = 0.026731; // most cases only require b optimization double paramC = 0.0; // most uniform correction double paramD = 1.0 - paramA - paramB - paramC; // describes the linear scaling of the image for (int x = 0; x < width; x++) { for (int y = 0; y < height; y++) { int d = Math.min(width, height) / 2; // radius of the circle // center of dst image double centerX = (width - 1) / 2.0; double centerY = (height - 1) / 2.0; // cartesian coordinates of the destination point (relative to the centre of the image) double deltaX = (x - centerX) / d; double deltaY = (y - centerY) / d; // distance or radius of dst image double dstR = Math.sqrt(deltaX * deltaX + deltaY * deltaY); // distance or radius of src image (with formula) double srcR = (paramA * dstR * dstR * dstR + paramB * dstR * dstR + paramC * dstR + paramD) * dstR; // comparing old and new distance to get factor double factor = Math.abs(dstR / srcR); // coordinates in source image double srcXd = centerX + (deltaX * factor * d); double srcYd = centerY + (deltaY * factor * d); // no interpolation yet (just nearest point) int srcX = (int) srcXd; int srcY = (int) srcYd; if (srcX >= 0 && srcY >= 0 && srcX < width && srcY < height) { int dstPos = y * width + x; pixels[dstPos] = pixelsCopy[srcY * width + srcX]; } } } return pixels;}使用此版本，您可以使用现有镜头数据库（例如LensFun）中的参数值（尽管您需要翻转每个参数的符号）。现在可以在http://mipav.cit.nih.gov/pubwiki/index.php/Barrel_Distortion_Correction中找到描述算法的页面
