Video Compression Using Multiwavelet and Multistage Vector Quantization

 Esakkirajan Sankaralingam1, Veerakumar Thangaraj2, Senthil Vijayamani3,
and Navaneethan Palaniswamy1
 1Department of Electrical and Electronics Engineering, PSG College of Technology, India
2Department of Electronics and Communication Engineering, PSG College of Technology, India
3Department of Electrical and Electronics Engineering Nasik, Mahindra and Mahindra, India

Abstract: This paper presents a new video coding technique using multiwavelet transform and multi-stage vector quantization. Three types of redundancies that are common in video sequence are spatial, temporal and psycho visual redundancies. In this work, the spatial redundancy in the video is minimized using multiwavelet transform. The transform coefficients are then quantized using multi-stage vector quantization scheme.   Motion estimation/ compensation reduce temporal redundancy by exploiting interpicture correlation. Kite cross diamond search is the block matching algorithm used for motion estimation. The objective is to develop low bit rate video coder with acceptable visual quality. The performance of the proposed method is compared with wavelet based video coder.