VIDEO COMPRESSION USING DWT AND HUFFMAN ENCODING TECHNIQUE

Digital image and video in raw form desire large amount of storage capacity. Image compression is basically mean reducing the size of graphics file, without compromising on its quality. Depending on the reconstructed image, to be exactly same as the original or some unidentified loss may be incurred, two techniques for compression exist. Two techniques are: lossy techniques and lossless techniques. Digital imaging and video play an important role in image processing hence it is necessary to develop a system that produces high degree of compression while preserving critical image/video. In this paper we present hybrid model which is the combination of several compression techniques. This paper presents DWT and DCT implementation because these are the lossy techniques and also introduce Huffman encoding technique which is lossless. On several medical, endoscopic, Lena and Barbra images simulation has been carried out. At last implement lossless technique so our PSNR and MSE will go better than the old algorithms and due to DWT and DCT we will get good level of compression. The results show that the proposed hybrid algorithm performs much better in term of peak-signal-to-noise ratio with a higher compression ratio compared to standalone DCT and DWT algorithms.