Discrete transformation technique for video compression

Abstract

A large composition of image, sound, motion, video and other signal sequences is always a rich source of useful and reliable information. With the proliferating cost and complexities of mass storage media, the need for redundancy and complex transmission-free signals is on the rise. Furthermore, the growing increase in the number of video-specific applications has heightened the need for digital multimedia technologies that emphasized bit compression. This paper presents a Discrete Transform Technique (DTT) that leveraged the integration of Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) for higher scale video compression. The experimental study of the new technique was based on some online videos with varying sizes, sources and formats. The analysis of the experimental values obtained for standard performance metrics such as maximum difference, mean square error and peak signal to noise ratio for the pre- and post-compression videos portrayed a very significant and encouraging impact of the new technique. Comparative analysis based on compression ratios derived using the new technique and some recent video compression techniques also established a very impressive performance of the new technique.