An adaptive threshold selection technique in video compression by using FHW and evolutionary programming

Wavelet based compression is mostly utilized to compress the videos. Most of the wavelet-based compression techniques first determines the coefficients and then performs a threshold-based operation to obtain the compressed video. In such works, there is a lack of analysis in selecting an appropriate threshold value. To overcome such drawback presented in the existing methods, we have proposed a video compression technique with an adaptive threshold selection method to compress the videos in this paper. The simulation results show the effectiveness of proposed video compression technique. The performance of the video compression technique is evaluated by comparing the result of proposed technique with the existing video compression technique. The comparison result shows that the enhanced quality of the image as well as the compression ratio of the proposed technique.