基于DCT的图像压缩技术研究与仿真实现 计算机专业英语毕业论文.doc

基于DCT的图像压缩技术研究与仿真实现 Abstract Discrete Cosine Transform (Discrete Cosine Transform, referred to as DCT) is often considered to be the voice and image signals as the best way of transforming. In order to achieve the required engineering, many scholars at home and abroad to spend a lot of energy to find or improve fast DCT algorithms. with the development of DSP in recent years, coupling with the advantages of ASIC design, DCT firmly established an important position in the current image coding algorithm,as to be an important part of the coding of H.261, JPEG, MPEG and other international standards on the public . MATLAB is by the American Math-Works introduced for the numerical computation and graphics processing for scientific computing software, which combines numerical analysis, matrix computation, signal processing and graphics display functions in one and constitutes a convenient user-friendly environment. The Image Processing Toolboxs in MATLAB, is the set of packages of many MATLAB technical computing environment . This paper discusses the DCT transform methods, and discusses applied functions of the image processing toolbox in MATLAB and implement related to the use of C language to implement the discrete cosine transform image compression algorithm simulation. KEYWORD:Discrete Cosine Transform(DCT);MATLAB;VC6.0,DCT Transformation method;Image Processing;Image Compression; CATALOG TOC \o 1-3 \h \z \u Abstract V 1 INRODUCTION 7 2 Basic principles and modelof image compression 9 2.1 Basic principles of image compression 9 2.1.1 The basic idea of ??image compression 9 2.1.2 Image compression method 9 2.1.3 Image compression standard 10 2.2 Image compression system flow chart 10 2.3 Analysis of the main module of image compression 11 2.3.1 Color space conversion 11 2.3.2 Discrete Cosine Transform 12 2.3.3 Quantization 13 2.3.4 Z shaped scan 13 2.3.5 Encoding and decoding 14 2.4 The purpose of image data comp