一种改进的自适应Wallis滤波算法

An improved adaptive algorithm of Wallis filter

针对影像增强过程中的边缘扩张、灰度过饱和及"块效应"等问题,文章提出了一种改进的自适应Wallis滤波算法:结合影像特征提取的实践应用,在影像局部范围内进行灰度均值和方差的统计,能够较好地实现自适应的判断二值分割阈值,利用迭代的方法,可以有效保证影像在增强处理下的保真度。最后以几组典型影像为例,证明该方法相对于传统方法较好地保证了影像增强后的影像质量,处理效率较高、应用面广。

Aiming at the problem of edge expansion, saturated gray, and block effect in the image en hancement, the paper proposed an improved adaptive algorithm of Wallis filter： combined with the practi cal application of feature extraction, the statistics of average gray value and variance was done in the local image binning; and based on the adaptive binary segmentation threshold, the processing may effectively ensure the fidelity of images by using iterative method. Finally, the experiment of a few typical set of ima- ges proved that the method would ensure the quality of the image after image enhancement with high effi ciency and wide range of applications.