As the name compression itself suggests, any image has to be compressed. Whatever your image is or any information or data, it has to be compressed and it has to be compressed in such a way that its information should not leak or be lost. And any unwanted information should be removed. Overall, we have to reduce its size so that we can access it fast within the network. So image compression refers to the process of redundancy amount of data required to represent the given quantity of information for the digital image. The basis of the reduction process is the removal of the redundant data. It has 4 main methods. Run Length Encoding (RLE), Arithmetic Coding, Halfman Coding, Transform Coding