  Histogram Equalization (HE) has been an essential addition to the Image
Enhancement world. Enhancement techniques like Classical Histogram Equalization
(CHE), Adaptive Histogram Equalization (ADHE), Bi-Histogram Equalization (BHE)
and Recursive Mean Separate Histogram Equalization (RMSHE) methods enhance
contrast, however, brightness is not well preserved with these methods, 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
sixty-four parts, applied CHE in each of the sub-images and then finally
interpolated them in correct order. The final image after MDHE results in
contrast enhanced and brightness preserved image 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.
