VIDEO COMPRESSION VIA MINIMUM FRAME DIFFERENCE LOCALIZATION ADAPTED FOR MOBILE COMMUNICATIONS

Abstract

Huge amount of multimedia data are circulated via communications media (wired and wireless), Internet, and many other media, so these data need to be compressed to achieve storage space and speed. Many method are used for image and video compression such as discrete cosine transform, discrete wavelet transform and discrete curvelet transform. Some of these methods are efficient and have wide range of applications. The aim of this paper is to implement an efficient approach of video compression based on frame difference localization. The implemented approach based on the mixing of two methods; firstly, calculate the difference between the two near frames to avoid the similarity and secondly, applying discrete wavelet transform to reduce the amount of similar pixels as possible. The implemented approach is tested for many types of image, in which a good performance results are obtained. This approach is adapted for mobile communications in order to save speed and space.