A Fuzzy Homomorphic Algorithm for Image Enhancement

  • UA Nnolim
Keywords: Homomorphic Filtering, Illumination correction, Low Contrast Images, Enhancement, Filtering, Fuzzy Logic

Abstract

The 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 image enhancement. This algorithm reduces the computational complexity by eliminating the need for image-size-dependent filter kernels and the forward and inverse Fourier Transforms.   The proposed algorithm is compared with the more established algorithms for the enhancement of low contrast images with uneven illumination. The results show that the fuzzy method provides similar or better results than the frequency domain method and some other well-known image enhancement algorithms.

Author Biography

UA Nnolim
The implementation and analysis of a novel Fuzzy Homomorphic image enhancement technique is presented. The technique[G1] 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-size-dependent filter kernels and the forward and inverse Fourier Transforms. The proposed algorithm is compared with the more established algorithms [G2] for the enhancement of low contrast images with uneven illumination[G3] . The results show that the fuzzy method provides similar or better results than the frequency domain method and some other well-known image enhancement algorithms. [G1]Tautology issue addressed here [G2]This is presented in Figure 10, page 9 of 11 in the original paper [G3]This has been corrected
Published
2014-12-29
Section
Computer, Telecommunications, Software, Electrical & Electronics Engineering

Journal Identifiers


eISSN: 2467-8821
print ISSN: 0331-8443