Improve data compression performance using wavelet transform based on HVS

Abstract

In recent years, multimedia computing has emerged as a major area of research. This led to the development of various other types of applications like video, images and graphics. Data compression is specifically valuable during communication as it enables the electronic devices to store and transmit the data in a smaller number of bits. The following research considers data compression as a possible solution to retrieve, store and transmit data. In relation to this, this research also aims to have a balance between the processing time, the quality and compression rate based on Human Visual System (HVS) perception. The best compression method for multimedia conversion would be to convert at the highest possible rate with the minimum amount of distortion. For this reason, the proposed method using wavelet based on HVS method with integrated JPEG2000 to achieve a high compression ratio, faster execution and better quality all in real time. This experiment work has improved the performance of the previous method and achieved the best result of data compression using wavelet based on HVS.