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A Wavelet decomposition method that is being used in the system to increase more contrast of an image. A new image technique is based on the discrete wavelet transform (DWT) and singular value decomposition. This paper has been proposed based on the above techniques. The technique decomposes the input image into the four frequency sub bands by using DWT and estimates the filtering of the low–low sub band image, and, then, it reconstructs the enhanced image by applying inverse DWT. Then this technique is compared with the past image equalization techniques. They are as standard general histogram equalization and local histogram equalization. They are also composed of state-of-the-art techniques such as brightness preserving dynamic histogram equalization and singular value equalization.

Wavelet Decomposition on Histogram Based Medical Image Contrast Enhancement Using Homomorphic Filtering