A FUZZY HOMOMORPHIC ALGORITHM FOR IMAGE ENHANCEMENT A FUZZY HOMOMORPHIC ALGORITHM FOR IMAGE ENHANCEMENT A FUZZY HOMOMORPHIC ALGORITHM FOR IMAGE ENHANCEMENT A FUZZY HOMOMORPHIC ALGORITHM FOR IMAGE ENHANCEMENT
Uche A. Nnolim · 2015
The implementation and analysis of a novel Fuzzy Homomorphic image enhancement technique is presented. The he implementation and analysis of a novel Fuzzy Homomorphic image enhancement technique is presented. The he implementation and analysis of a novel Fuzzy Homomorphic image enhancement technique is presented. The he implementation and analysis of a novel Fuzzy Homomorphic image enhancement technique is presented. The technique combines the logarithmic transform with fuzzy membership functions to deliver an intuitive method of combines the logarithmic transform with fuzzy membership functions to deliver an intuitive method of combines the logarithmic transform with fuzzy membership functions to deliver an intuitive method of combines the logarithmic transform with fuzzy membership functions to deliver an intuitive method of image enhancement. This algorithm reduces the computational complexity by eliminating the need for image image enhancement. This algorithm reduces the computational complexity by eliminating the need for image image enhancement. This algorithm reduces the computational complexity by eliminating the need for image image enhancement. This algorithm reduces the computational complexity by eliminating the need for image dependent filter kernels and the forward and dependent filter kernels and the forward and dependent filter kernels and the forward and dependent filter kernels and the forward and with the more established algorithms with the more established algorithms with the more established algorithms with the more established algorithms for the enhancement of low contrast images with uneven illumination for the enhancement of low contrast images with uneven illumination for the enhancement of low contrast images with uneven illumination for the enhancement of low contrast images with uneven illumination results show that the fuzzy method provides similar or better results than results show that the fuzzy method provides similar or better results than results show that the fuzzy method provides similar or better results than results show that the fuzzy method provides similar or better results than other well other well other well other well- -known image enhancement algorithms. known image enhancement algorithms. known image enhancement algorithms. known image enhancement algorithms.