Discrete wavelet transform based video signal processing

Abstract

In the world of social media video processing is very popular. Videos and movies are made up of a temporal sequence of frames and are projected at a proper rate (24 fps for movie and 30 fps for TV) to create the illusion of motion. This means that there exists a high correlation between adjacent temporal frames so that when projected at a proper rate, smooth motion is seen. In different research areas, there is a need for recording events in high frame rates. Due to the high frame rate video constraints, using complex methods are not suitable for videos and will increase the cost of the system and the required storage is also large. Either we have to store the data in database or to transfer video over some communication medium, video size always effect the efficiency. Because of this video compression is required to save the storage space. There are different lossless, lossy and wavelet methods for compressing video sequences. This paper presents the architectures for 2D discrete wavelet transform (DWT) and inverse DWT (IDWT). The experimental results demonstrate good compression ratios, mean square error and peak signal to noise ratio.