在一般的拍摄情况下，光照是平行均匀地照射到物体上的，往往关注光源颜色的变化而忽略了亮度信息，导致校正效果不理想，于是提出了基于亮度的改进算法。该算法的基本思想是，将图像均匀分块求取中心像素并对亮度进行加权，然后求取近似于整幅图像R、G、B三分量的平均灰度值，改进GrayWorld算法时用亮度加权取代了平均灰度值，最后将它与White-patch算法整合到一起，建立方程组解出调节参数，并根据参数进行调整。-In normal shooting situations, the light is uniformly irradiated parallel to, tend to focus on light color changes on the object while ignoring the luminance information, resulting in the correction result is not satisfactory, then made based on the brightness of the improved algorithm. Luminance weighted basic idea of the algorithm is that the image obtaining uniform block weighting the center pixel and brightness, and then strike a similar whole image R, G, B three-component average gray value, improved algorithm GrayWorld replacing the average gray value, and finally it White-patch algorithm integrated together to establish equations of tuning parameters, and adjust parameters.