Two Technologies of Image Enhancement Based on Fuzzy Entropy
Lei Li · Computer Technology and Development · 2013
Image processing technique based on fuzzy mathematics is important in image processing technology.Based on the concept of fuzzy entropy,proposed two new image enhancement algorithms.One is the fuzzy entropy filtering.Another is improved fuzzy relaxation iterative image enhancement algorithm.The first method divides the image into several windows,calculating the fuzzy entropy of each window on different fuzzy sets.The method determines the value of the window center grayscale,according to the minimum fuzzy entropy principle,which makes full use of the area information of the pixels in the image window.In method two,use the fuzzy entropy filtering to remove noise,divide the image due to the maximum fuzzy entropy threshold and enhance the image through the fuzzy membership slack iterative algorithm.This method not only makes the controlled enhancement possible at the different levels of the image,but also improves self-adaptability and the anti-noise performance.Research indicates that the proposed algorithms can achieve better effect of image enhancement than traditional algorithms.