Image Compression Using Haar Transform And Modified Fast Haar Wavelet Transform
Avinash Ghorpade, Priyanka Katkar · 2014
Abstract: Wavelet Transform has been proved to be a very useful tool for image processing in recent years. Digital images require large amounts of memory to store and, when retrieved from the internet, can take a considerable amount of time to download. Compression makes it possible for creating file sizes of manageable, storable and transmittable dimensions The Haar wavelet transform provides a method of compressing image data so that it takes up less memory. 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 is one of the algorithms which can reduce the calculation work in Haar Transform. The present paper attempts to describe the algorithm for image compression using MFHWT.