Enhancement algorithm for X-ray images based on neighborhood related information
Zhiguo Gui, Pengcheng Zhang · Computer Engineering and Applications Journal · 2010
There are many defects in X-ray images,such as bad contrast,narrow grayscale range,and fuzzy image.Unsharp masking method is a popular approach for image enhancement,in which a highpass version of an image is added to the original one.This method is easy to run,but is very sensitive to noise.Suppressing noise is generally performed with lowpass filters,and leads to edge blurring.For this problem,a sharpening algorithm for X-ray images based on neighborhood related information is proposed.First,the noise of X-ray images is suppressed by image averaging;then,a lookup table set by the gray difference of pixel at the center of the mask and the neighborhood pixel is used to enhance X-ray images.Enhancing images with the new method can well reduce the addition of noise at the same time.The experimental results have proved the effectiveness of this method.