Improved underwater image enhancement algorithms based on partial differential equations (PDEs)

The experimental results of improved underwater image enhancement algorithms based on partial differential equations (PDEs) are presented in this report. This second work extends the study of previous work and incorporating several improvements into the revised algorithm. Experiments show the evidence of the improvements when compared to previously proposed approaches and other conventional algorithms found in the literature.Comment: 22 pages, 6 figure

Improve a technique for searching and indexing images utilizing content investigation

In this research, algorithms were developed to assess the similarities between two or more images and reduce the time spent on searching for them based on the analysis of color intensity diversity and (histogram analysis), besides analyzing the partial proportion of the color component of the images. These algorithms can be used to search for images in the database, systems, and computer networks. This experiment was carried out using a computer program that was programmed using C Builder. The results were analyzed and illustrated with multiple examples. The results showed that the time spent in the searching process depends on several criteria. The most important of these criteria is the number of images used in the search process, number and method of processing the images involved in the search process, in addition to evaluating the time spent in the search process of the three algorithms whose effectiveness has been evaluated. (The best algorithm according to results and performance)