Compression of Astronomical Image Using Five Modulus Method

The computer vision branch of the artificial intelligence field is concerned with developing algorithms for analyzing image content. Data may be compressed by reducing the redundancy in the original data, but this makes the data have more errors. In this paper image compression based on a new method that has been created for image compression which is called Five Modulus Method (FMM). The new method consists of converting each pixel value in an (4x4, 8×8,16x16) block into a multiple of 5 for each of the R, G and B arrays. After that, the new values could be divided by 5 to get new values which are 6-bit length for each pixel and it is less in storage space than the original value which is 8-bits.