Research And Application On Video Compression Based On Wavelet Transform Method

With the development of the multimedia technology application, and advance of national informationization and broadcast television digitalization , the largeness of information on video and audio brings a lot of difficulties to the storage and transmission of information, and has been one of bottleneck problems of the information acquisition and using . During the procession of multimedia development, versatile encoder that has not cube effectiveness and is capable of adapting the self-character of image is explored and researched at all times. And now,the representative of way are JPEG and MPEG, In MPEG family, MPEG-1, MPEG-2 have developed to MPEG-4, MPEG-7 > MPEG-21.In this paper, the present status and main characters, using multimedia data compression format, are analyzed. And it describes the TV signal and how to realize the digitalization simply. In order to carry out the transmission and returning in LAN of the Hunan Television and Broadcast Group , using the future developing wavelet analysis theory and to compress the image using discrete wavelet transform. Wavelet analysis is a front porch field recent years in internation. It is believed the breakthroughness of the Fourier analysis development. Wavelet transform encoding based on wavelet analysis is a method with above-described virtues and the development potention.In this paper, starting from the math model of discrete wavelet, promoting a whole architecture on video and audio data processing ,and carry out the research and discussion with related company conscientiously. Meanwhile ,compared with the result using MPEG-2 compression format and data analyzing. During the real running, compare with broadcast levl video signal, and explore the technology of applying in the TV and Broadcast system video compression and designing the interface. The system running demonstrate that the model is reasonable basically , friendable interface and simply operation ,satisfied the request of present application. And promting the efficiency of examing TV program , it has a better applying future .