针对光照不均匀所引起的图像视觉效果不佳的问题,提出一种有效的灰度校正方法,即利用一种基于卷积变换与方差归一化相结合的图像光照均衡算法,使均衡后的图像有良好的视觉效果。实验结果表明,该方法能够有效地提升图像质量,同时不会损失细节信息。
For bad visual effect caused by uneven illumination,an effective gray grade correction method was proposed based on the combination of convolution transform and normalized variance. This method makes it possible to have good visual effect of equalization images. The results show that this method can effectively improve the quality of images without any lost of details.