ABSTRACT
Image and video data compression refers to a process in which the amount of data used to represent image and video is reduced to meet a bit rate requirement, while the quality of the reconstructed image or video satisfies a requirement for a certain application and the complexity of computation involved is affordable for the application. Needless to say, visual information is of vital importance for human beings to perceive, recognize, and understand the surrounding world. Statistical redundancy can be classified into two types: interpixel redundancy and coding redundancy. By interpixel redundancy we mean that pixels of an image frame, and pixels of a group of successive image or video frames, are not statistically independent. Spatial redundancy represents the statistical correlation between pixels within an image frame. Hence it is also called intraframe redundancy. Temporal redundancy is concerned with the statistical correlation between pixels from successive frames in a temporal image or video sequence.
