Image Coding With Motion Compensation Algorithm Research

In modern society, with continuous growth of the requirement for communication business, the contradiction between image communication and net capacity is becoming imminent. Especially for large data of digital picture, communication is so difficult to transmit and store that it confine the development of image communication and become the "bottle-neck". The target of image compression is to express image with less byte, as well as maintain the quality of the restore image to meet the requirement of special environment.This thesis analyzes the image-coding algorithm based on wavelet, rapid DCT algorithm and diamond compensation algorithm. This paper analyzes the shortcoming of classical algorithm, puts forward the new algorithm and enhances the compression ratio on the condition of the same SNR.This series is composed of three parts: image code algorithm based on wavelet, DCT coding algorithm and diamond movement compensation algorithm.In the first part of this thesis, on the base of analyzing the wavelet theory and discussing the wavelet coefficient, a kind of Shapiro code algorithm is put forward. It efficiently organizes the wavelet coefficient and enhances the compression.In the second part of this work, According to cosine function's cycle property and using the quantization square choosed by international standards such as JPEG, H261/H263,MPEG1/2, a kind of DCT coding algorithm that based on tabling is put forward.In the third part of this thesis, according to the characteristic of some movement compensation algorithms, a kind of diamond search algorithm is put forward. It enhances the accuracy and according amount of experiment. According to amount of experiments, diamond algorithm's convergence property is very sound.