PRESERVATION OF INTERLACED PATTERNS IN ENCODING VIDEO SIGNALS USING SIDE MATCH VECTOR QUANTIZATION

Vector Quantization (VQ) is a popular class of image encoding techniqu es which finds valuable applications in developing economical, low bit -rate video conferencing and multimedia products for the consumer's ma rket, Recently, a new algorithm known as the Side Match Vector Quantiz ation (SMVQ) had been proposed to enhance the visual quality of tradit ional VQ techniques by reducing the blocking effect based on local edg e information. In this paper, we will show that despite the success of SMVQ in encoding still pictures, it does not perform equally well wit h interlaced video signals which contain motion contents. To overcome this problem, an algorithm known as Hybrid Side Match Vector Quantizat ion (HSMVQ) algorithm which enable existing SMVQ to be applied to enco de interlaced video signals with improved visual quality is developed and presented. Typical results obtained with HSMVQ, as compare with SM VQ are presented to demonstrate the feasibility of the approach.