Hybrid Lossless Compression Technique

Abstract

This project creates software of one of the image processing application for image compression. It has been explicitly made for the image resizing. It manages space acquisition of computer hard disk. It includes the option to choose your image file and also save that image. The project also lets you compress and decompress the selected image. It also provides an option to make your image compress with three different algorithms. The algorithms include Huffman and Run Length Encoding and a Hybrid algorithm including features of both Huffman and Run Length Encoding. It has capacity to show compressed and decompressed file on UI. In the UI, we pick image that user selects on which compression is to be performed. We save all files with save option and use write function. The interface has been made very user friendly. The UI is created to perform one complete cycle for compression and decompression. We use image to binary and binary to image for compression. Overall objective of application is to reduce the size of image.