SAR image contrast enhancement based on minimum fuzzy offset principle
Li Yu · Computer Engineering and Applications Journal · 2012
In consideration of gray level characteristics of SAR images,a new contrast enhancement method based on the Minimum Fuzzy Offse(tMFO)principle is proposed.The Gaussian membership function is adopted,and the Fuzzy Contrast Intensification(INT)operator is settled based on the MFO principle.Then it obtains the adaptive S-shape transformation function for image enhancement,which is capable of expanding the value of the medium gray-level range in the image,suppressing speckle noise,and increasing target brightness.The Tenengrad(TEN) principle and Measure of Enhancemen(tEME)are used to evaluate the quality of the algorithm.