IMAGE COMPRESSION WITH TILING USING HYBRID KEKRE AND HAAR WAVELET TRANSFORMS

In today’s life with the increasing use of digital data in every field every organization has to handle large amount of data. To store this digital data, large disk space is needed. In recent years a lot of research has been done to compress the size of digital data which helps to store data in low disk space and to save the transmission band width required to transmit data. Different types of transforms have been successfully used to compress the images. Image compression can be done by use of single transform or by hybrid of different transforms. Research shows hybrid transforms give better q uality of image compression and use of tiling in image compression with hybrid transforms shows better results. Wavelets provide a mathematical way of encoding data. This paper presents the methodology of Image compression by use of tiling with hybrid kekr e and haar wavelet transforms. The high frequency data will be removed & then again images are transformed back to spatial domain. The quality of the compressed images has been evaluated using parameters like MSE(Mean Squared Error), PSNR(Peak Signal to No ise Ratio), and CR(Compression Ratio) etc