Image Compression Using Modified Fast Haar Wavelet Transform (Mfhwt)

Abstract

Image compression plays an important role in multimedia applications. It reduces memory requirements for storage of images. The most distinctive feature of Haar Transform lies in the fact that it lends itself easily to simple manual calculations. Modified Fast Haar Wavelet Transform (MFHWT), is one of the algorithms which can reduce the calculation work in Haar Transform (HT) and Fast Haar Transform (FHT). This project attempts to describe the algorithm for image compression using MFHWT. It includes a number of examples of different images to validate the utility and significance of algorithm’s performance. Comparison of HT and MFHWT is done for different images and compared by PSNR, MSE and CR. It is seen that MFHWT is more efficient compression method than HT.