Abstract
Information technology has witnessed a great development in the terms of the huge amount of information exchanged, the ways of exchanging this information, and the speed of its exchange. One of the most essential media used to transfer data is the digital image. Image compression plays a very important role in the transfer and storing of image data due to storage limitations. The main goal of image compression is to represent the image with the fewest number of bits without losing the basic information content within the original image. Digital images contain a large amount of digital information that needs efficient technologies to be stored and to transmit a large volume of data. In this study, a method was used to compress digital images, in which the bits of each pixel are compared with the pixels adjacent to it, and the result of the comparison is a new code to represent the bits of the second pixel, and its size is different, either increasing or decreasing, and calculating the image size after performing the compression process. Each pixel was divided into two parts, the right part of it was compared with the right part of the adjacent pixel, while the left part was compared to the left part of the adjacent pixel, therefore, a new code was obtained. This method was applied on a group of images with different content to obtain good results.