图像处理中改进的Gamma矫正方法

在计算机视觉中,光照始终是影响图像质量的重要因素,也是目前尚未有效解决的难题之一.为了有效弱化光照对图像质量的影响,可利用非线性函数叠加的方法构造一个合理的Gamma值变化曲线,使Gamma矫正方法充分适应图像中光照变化的实际情况,能有效防止Gamma矫正可能产生的图像失真.实验证明,此方法在改善图像光照条件,提高图像质量方面具有良好的性能.

Improved Gamma Correction Method in Image Processing

Illumination always plays an important role in impairing image quality in computer vision, and up to now, no effective methods have been found to solve this problem. To effectively weaken illumination effects on image quality, a proper Gamma curve can be constructed by combining several non-linear functions. This can make Gamma correction method more suitable to illumination changes in an image besides effectively preventing possible image distortion caused by Gamma correction. Experimental results demonstrate that the proposed method performs better in weakening image illumination and improving image quality.