Contrast Enhancement and Brightness Preservation Using Multi-Decomposition Histogram Equalization
Sayali Nimkar, Sucheta Shrivastava, Sanal Varghese · Signal & Image Processing An International Journal · 2013
Histogram Equalization (HE) has been an essential addition to the Image Enhancement world. Enhancement techniques like Classical Histogram Equalization(CHE),Adaptive Histogram Equalization (AHE), Bi-Histogram Equalization (BHE) and Recursive Mean Separate Histogram Equalization (RMSHE) methods enhance contrast, brightness is not well preserved, which gives an unpleasant look to the final image obtained. Thus, we introduce a novel technique Multi-Decomposition Histogram Equalization (MDHE) to eliminate the drawbacks of the earlier methods.In MDHE, we have decomposed the input image using a unique logic, applied CHE in each of the sub-images and then finally interpolated them in correct order.The final image after MDHE gives us the best results based on contrast enhancement and brightness preservation aspect compared to all other techniques mentioned above.We have calculated the various parameters like PSNR, SNR, RMSE, MSE, etc. for every technique.Our results are well supported by bar graphs, histograms and the parameter calculations at the end.