Wavelet based image compression methods — State of the art

With the increasing growth of technology and the entrance into the digital world, we have to handle a enormous amount of information every time which often presents difficulties. So, the digital information must be stored and retrieved in a professional and valuable manner, in order for it to be put to practical use. Imaging requires large amount of memory to store the digitized data. Due to the transmission bandwidth constraint, images must be compressed before transmission and storage. The wavelet transform is more and more widely used in image processing algorithms. In this paper, we reviewed the different methods of image coding. We reviewed the different methods in terms of PSNR [Peak Signal to Noise Ratio] and MSE [Mean Square Error] which can be used to better understand the relationship between various methods and their features.