Reduce memory requirements by handling efficient move only in haar transform

With the increasing growth of technology and the entrance into the digital age, we have to handle a vast amount of information every time which often presents difficulties. So, the digital information must be stored and retrieved in an efficient and effective manner, in order for it to be put to practical use. Wavelet Transform has been proved to be a very useful tool for image processing in recent years. Wavelets are mathematical tools for hierarchically decomposing functions. Wavelets provide a mathematical way of encoding information in such a way that it is layered according to level of detail. This layering facilitates approximations at various intermediate stages. These approximations can be stored using a lot less space than the original data. The most distinctive feature of Haar Wavelet Transform lies in the fact that it lends itself easily to simple manual calculations. The present paper attempts to reduce memory requirements by handling efficient move only in Haar Wavelet transform. The algorithm or procedure proposed allows certain calculation in the process decomposition be ignored without affecting the results.