ARCHITECTURAL IMPLEMENTATION OF VIDEO COMPRESSION THROUGH WAVELET TRANSFORM CODING AND EZW CODING
Srinivasa Rao · 2012
With the increasing growth of technology and the entrance into the digital age, we have to handle a vast amount of information every time which often presents difficulties.. Wavelets provide a mathematical way of encoding information in such a way that it is layered according to level of detail. These layers can be stored using a lot less space than the original data. The basic video compression is based on the block discrete cosine transform (DCT). By using this, blocking artifacts are more in the frames. This paper presents a video compression by using Haar wavelet transform, down sampling and embedded zero tree wavelet. The video is represented as a group of images. These frames are given to the haar wavelet transform and then down sampling of the frames are done. The output of the down sampling is given to the EZW encoder and the output of the EZW encoder is given to the channel encoder. The reverse phenomenon was observed at the receiver. So the blocking effect is removed and the video quality was improved. For video quality Assessment the peak signal to noise ratio between the frames is calculated. This video compression is implemented in matlab and vhdl code.