Hybridization of Divide-and-Conquer technique and Neural Network algorithm for better contrast enhancement in medical images
The aim of this work is to propose a new method for optimal contrast enhancement of a medical image. The main idea is to improve the Divide-and-Conquer method to enhance the contrast, and highlight the information and details of the image, based on a new conception of the Neural Network algorithm. The Divide-and-Conquer technique is a suitable method for contrast enhancement with an efficiency that directly depends on the choice of weights in the decomposition subspaces. A new hybrid algorithm was used for the optimal selection of weights, considering the optimizatio