一种图像增强算法的设计与实现

根据Refinex理论．物体的颜色是由物体对长波、中波和短波三个独立的波段的光线反射能力共同决定的，而物体在某个波段内的反射能力是物体本身固有的属性，与光源没有任何依赖关系。在Refinex模型中，物体波段中的各像素的亮度值被与其自身邻近的平均亮度值之比所代替。通过计算各像素间的相对明暗关系，进而确定每个像素的明暗值，获得经过增强的图像。通过这种方法实现的图像更加清晰、明亮，饱和度也进行了改变。

Design and Implement of one Image Enhancement Algorithm

According to the Retinex theory, the colour of an object is jointly decided by its reflecting ability to three independent wave-length lights-lights of short, medium and long wave. The reflecting ability of the object in a certain wave band is an immanence nature which does not rely on lamp-house itself. In the Retinex model, the brightness values of each pels have been replaced by an ratio of the brightness value to the average value of the neighboring ones. By analyzing the ratios, we can get the shading value of each pixel and obtain a strengthened image. An image obtained in this way is clearer. The brightness and saturation also changed accordingly.