Comparison of GWO, BAT, and CLAHE in Image Contrast Enhancement

There are several CE algorithm techniques for contrast enhancement such as Contrast Limited Adaptive Histogram Equalization (CLAHE). However, these methods suffer from over-enhancement issue. Therefore, in this paper applied adaptive intelligent filters BA or GWO as enhance the contrast of color image on different number of brightness density and compare the proposed algorithm with Contrast-limited adaptive histogram equalization (CLAHE) fitter. The proposed methods performance evaluated using PSNR and MSE measures. The experimental results show that the suggested intelligent filters (BA, GWO) were found best, among the other traditional filter (AHE, CLAHE). In comparison to the other methods employed, the experimental results showed that the GWO outperforms other filters in terms of PSNR and MSE values. The simulating results the PSNR performance of proposed method (38.713, 33.890, 25.162), MSE equal (47.887, 112.520, 527.989) compared with bat algorithm and the filter of CLAHE (Contrast-limited adaptive histogram equalization).