CONTRAST ENHANCEMENT OF DARK IMAGES BASED ON CLUSTER ENHANCEMENT

An important area of picture processing that raises the caliber of images is image enhancement. Three categories are used to classify picture enhancing techniques. These consist of the optimal technique, fuzzy logic approach, and histogram method. Research on picture enhancement frequently follows the following rules: anything is brighter if it is bright; it is darker if it is dark; and a worldwide strategy is employed. Therefore, enhancing dark items is difficult. The picture enhancement based on dark object and cluster enhancement algorithm is a novel approach to improving dark images that is presented in this research. This approach employs a cluster based on a sub-algorithm for picture enhancement and an operator to enhance dark objects. The suggested algorithm outperforms certain contemporary techniques, according to the experimental data.