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JPEGimageCompressiontechniquesimplementationandopt
摘 要
文章以空间监控系统为背景,深入研究了JPEG图像压缩标准的实现方法,并基于FPGA对其进行了实现和优化。文中给出了详细的实现方法和优化过程,测试表明达到了很好的效果。
简单介绍了有损静态图像压缩当前有两种比较流行的标准JPEG和JPEG2000。说明了用JPEG方法压缩的原因。
介绍JPEG基本原理:JPEG对灰度图像的压缩处理过程主要包括:图像分割,离散余弦变换(DCT),量化(Quantization),“Z”形排序(Zigzag Scan),差分脉冲编码调制(Differential Pulse Code Modulation,DPCM)对直流系数(DC),行程长度编码(Run-Length Encoding,RLE)对交流系数(AC),霍夫曼(Huffman)编码等。
JPEG标准的特点是离散余弦变换。
比较详细介绍压缩系统的构成和实现。实现提及步骤, JPEG压缩模块设计和编码模块实现细节。
(Abstract
Article in the space monitoring system for the background, in-depth study of the JPEG image compression standard implementation methods and carried out based on FPGA implementation and optimization. In this paper, a detailed method of implementation and optimization of the process, testing showed that to achieve good results.
Easy introduction of harmful static image compression has two kinds of comparisons that the current popular standard JPEG and JPEG2000. Illustrated by the reasons for JPEG compression method.
JPEG introduce the basic principles: JPEG compression of gray-scale image processing include: image segmentation, discrete cosine transform (DCT), quantization (Quantization), "Z"-shaped sort (Zigzag Scan), differential pulse code modulation (Differential Pulse Code Modulation, DPCM) on the DC coefficient (DC), Run Length Encoding (Run-Length Encoding, RLE) of the exchange coefficient (AC), Hoffman (Huffman) coding.
JPEG standard is characterized by discrete )
- 2009-03-29 08:39:04下载
- 积分:1
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wt
说明: 本程序 包含两个函数 实现了 快速的沃尔什变换(This program contains two functions to achieve fast Walsh transform)
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llhsegyread
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trackman
卡尔曼滤波追踪,对目标运动状态进行预测
,从而实现目标的持续跟踪(Kalman filter tracking, the state of the target motion prediction
To achieve the objectives of the continuous tracking)
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LMS_RLS_sim
功能描述:测试LMS与RLS算法,比较两种算法的收敛特性
文件名:LMS_RLS_sim.m
测试用例:
x(n)+a1*x(n-1)+a2*x(n-2)=e(n),a1=-1.6,a2=0.81,e(n)为高斯白噪声
文件输出:系数a1的值
调用函数:function [A] = LMS_Algo(M,N,mu,xn)
被调用:无
作者:mingcheng
编写时间:2009-10-13
修改时间:2009-10-13
版本:V1.0 ( Function Description: Test LMS and RLS algorithm, the convergence characteristics were compared file name: LMS_RLS_sim.m test case: x (n)+ a1* x (n-1)+ a2* x (n-2) = e (n), a1 =- 1.6, a2 = 0.81, e (n) is Gaussian white noise file output: the value of coefficient a1 call the function: function [A] = LMS_Algo (M, N, mu, xn) is called: No of: mingcheng write time :2009-10-13 modified :2009-10-13 version: V1.0 )
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(Matlab pattern recognition toolbox box, very helpful in the development can be used directly.)
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OFDM_802.111
802.11的OFDM系统方针程序,比较全面详细。(802.11 OFDM systems approach procedures, more comprehensive details.)
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matlab
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