Compression And Decompression Of Files Without Loss Of Quality

This paper proposes the Gzip algorithm for image and document compression and decompression. Gzip is a hybrid algorithm that combines Lz77 and Huffman. In document management and communication systems, picture and document compression and decompression are crucial. Image and document compression technologies are used to lower the amount of data required to represent the file. Image compression has proven to be the most advantageous and practical method in the field of digital image processing. The goal is to reduce the images’ and documents’ redundancy so that data may be stored or sent efficiently. In order to reduce data redundancy and conserve more hardware space and transmission bandwidth, the theory of data compression and decompression is therefore becoming more and more important. Compression is beneficial because it makes use of less expensive resources like hard disc space and transmission bandwidth. When we evaluate the image quality, decompression is beneficial. In the proposed system, there is no reduction in data, but there is a decrease in data size without loss of quality.