教你认识视频压缩（Teach you video compression）.doc

教你认识视频压缩（Teach you video compression） Teach you video compression Preface Video compression algorithm can greatly reduce the storage and bandwidth requirements of video signals by compressing video signals. On the basis of this, the best image quality can be obtained as much as possible. Therefore, to understand the basic principle of video compression algorithm for embedded system, video processor and application tool developers, it is necessary, for example in the processor selection and process of software optimization, performance overhead and the storage space of the video compression algorithm is one of the critical factors. In this paper, we will focus on the characteristics and process of video compression algorithm, we will explain the basic video compression algorithms, including image compression, motion estimation, image denoising, and color space conversion at the same time, we will also discuss the video compression algorithm for processor performance requirements as well as a series of impact from these requirements. Still image compression Dynamic image sequence of video clips is what we usually say, dynamic image sequence is composed of a plurality of static images on the time axis, every picture in the dynamic image sequence is called frame. In the dynamic image compression algorithm, a lot of static image compression algorithms and techniques are used, such as the static image compression standard JPEG. In fact, the simple method of compressing dynamic image sequences is to compress each static picture in this sequence independently, and ignore the temporal correlation of these pictures. In the application of some video products, this method is used to compress each picture with JPEG standard. We call it motion JPEG, or MJPEG. At present, more advanced video compression algorithm uses more continuous static images in video sequences, the temporal correlation between successive frames is the use of motion estimation and motion compensation algorith