Performance Analysis of K-Multiple Paths using Optimized Value of Quantization Parameter

Abstract

Bandwidth requirement for video transmission is a dynamic parameter and changes with the requirement of user. Quantization method plays a key role for rate distortion optimization in video compression algorithm. In this paper a proposed optimization based algorithm is develop with the integration of A*prune algorithm. This algorithm improve the quality and compression ratio of the reconstructed frame, an optimized value of the quantization parameter is find out with the help of firefly optimization algorithm.        Results are validated with slow motion video sequences, Mother-daughter having motion activity and varying frame rate 5 fps. In case of slow motion Mother-daughter video frame at frame rate 5 fps total bit budget reduced 5615–3186 bits and complexity reduced 102.57–99.23 s with acceptable degradation in PSNR 30.14 dB to 29.25 when we compare fix quantization method with the variable quantization method. At same frame rate 5 fps using proposed algorithm bit budget 1631 bits and complexity  61.06 s with PSNR  30.52 dB, it is found that there is improvement in parameters as compare to fix and variable quantization method, it is found that there is improvement in parameters as compare to fix and variable quantization method. From the above comparison it is concluded that using proposed algorithm complexity and bit budget is reduced and improvement in PSNR is achieved as compare to variable quantization parameter.