DESIGN AND IMPLEMENTATION OF IMAGE COMPRESSION USING SET PARTITIONING IN HIERARCHICAL TREES AND HYBRID WAVELET TRANSFORM

Jyoti V. Kadam, Vijaykumar S. Kolkure

Abstract: To store digital image and video in raw form require large amount of memory space. Image compression means reducing the size of image file without degrading quality of image. Depending on the reconstructed image to be exactly same as the original or some unknown loss may incurred image compression divided into two techniques lossy and lossless techniques. In this paper we present hybrid model which is the combination of several compression techniques. This paper present DWT, DCT and SPIHT implementation. Simulation has been carried out on different images like Lena , Barbra, Cameraman, Test drive . Result analysis is done through parameters like MSE, PSNR and Elapsed time. Values of this parameters will go better than the old algorithms because here we apply SPIHT lossless technique and also due to hybrid combination of DWT and DCT we will get good level of compression. The result analysis shows that the proposed hybrid algorithm performs much better in terms of PSNR with a higher compression ratio as compared to standalone DWT and DCT techniques

Keywords: DWT, DCT, SPIHT, PSNR, MSE

DOI: https://doi.org/10.15623/ijret.2015.0402068