ABSTRACT

Images constitute a very important kind of data, and it forms an integral part of digital communication and other computer image processing applications. Due to their information-rich nature, images tend to require relatively large memory space to store them; and a lot of bandwidth to transmit them through a network. Compression makes it possible to reduce their file sizes while retaining a sufficient amount of quality that should still be pleasant to the human visual system. This compression can either utilize lossy or lossless compression techniques or methods. A novel web-based compression system was presented in this project, which uses a smart lossy compression algorithm served through a REST API. The system proved efficient from the results obtained from testing with random large-size image files. And acceptable compression ratio, compression time and space-saving percentages were derived in all the test cases.