Lossless image compression technique using haar wavelet and vector transform

Abstract

Image processing field produce many challenges in front of computer vision researchers.The challenges may cover different phases like Image acquisition, Pre-processing, Segmentation, Restoration, Compression etc. Image Compression is also one of the hot topic.Image compression is a field where an original image is reduced to a smaller sized image and then for the purpose of remote communication this minimize image is used [1,2].At the destination site, this minimize image is again converted to original image by the execution of some algorithms.The result of these algorithms produces another image which may be very close to the original one .All the operations in reverse order again provide the initial data means data in decompressed form .During the process of decompression to get the original image back some of the finer details in the image sometime have to be surrender for saving a little more bandwidth or storage space etc.This also means that lossy compression techniques can be used in this area.During lossy compression the resultant image produced by the decompression stage may be slightly different from the input image.This minor variation is acceptable during some of the applications like the images transferred through social networking applications such as Whatsapp, Facebook etc Lossless compression is used to reproduce the input image after the decompression