基于DM6437的图像平滑算法的设计与实现-经管之家官网！

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目 录

中文摘要、关键词……………………………………………………………………………Ⅰ
英文摘要、关键词……………………………………………………………………………Ⅱ
引言……………………………………………………………………………………………1
第一章 图像平滑 ……………………………………………………………………………2
1.1 图像噪声的基本概念…………………………………………………………………2
1.2 图像平滑技术…………………………………………………………………………3
第二章 DSPs芯片 ……………………………………………………………………………9
2.1 DSPs芯片概述 ………………………………………………………………………9
2.2 TMS320C6000系列 DSPs……………………………………………………………13
第三章 系统硬件设计……………………………………………………………………16
3.1 DSP 系统的基本硬件设计…………………………………………………………16
3.2 DM6437………………………………………………………………………………20
第四章 程序设计与实现…………………………………………………………………23
4.1 软件开发环境 CCS…………………………………………………………………23
4.2 程序设计与实现……………………………………………………………………23
结 论……………………………………………………………………………………………33
致 谢……………………………………………………………………………………………34
参考文献………………………………………………………………………………………35
附 录……………………………………………………………………………………………36

基于DM6437的图像平滑算法的设计与实现

摘要：图像是人类获取和交换信息的主要来源，但是在图像的形成、传输和变换过程中，由于受多种因素的影响，往往使图像与原始景物或图像与原始图像之间产生某种差异，使得图像通常模糊不清，使人观察起来不满意，或者使机器从中提取的信息减少甚至造成错误。因此，必须对这些图像进行改善。
图像平滑处理是一种图像增强技术，其目的是减少图像噪声。图像的常见噪声主要有加性噪声、乘性噪声等。图像中的噪声往往和信号交织在一起，尤其是乘性噪声，如果平滑不当，就会使图像本身的细节如边界轮廓、线条等变得模糊不清。如何既平滑掉噪声又尽量保持图像细节，是图像平滑研究的主要任务。
论文中介绍了图像噪声产生的原因和噪声的分类，详细的阐述了均值滤波、中值滤波、巴特沃斯低通滤波这三种常用图像平滑技术的原理和方法。接着介绍了DSPs，设计了DSP的基本硬件系统，对DM6437开发平台做了详细介绍。然后对三种图像平滑技术进行了算法设计，并在CCS3.3开发环境下，用DM6437开发平台实现了图像平滑。最后从程序执行时间、图像峰值信噪比两个方面对三种平滑技术进行了分析与比较。最终得出了这三种平滑技术各自的优缺点。
关键词：图像平滑 中值滤波 均值滤波 巴特沃斯低通滤波 DM6437

The Design and Implementation of Image Smoothing Algorithm based on DM6437

Abstract：Image is one of the main sources for mankind to acquire and exchange information. But during the image of formation, transmission and transformation, it often has some differences between the original image and the real natural scene because of many factors. People are usually not satisfied with the image for its blurring. Information extraction from machine is also a way for this blurring. So, we must to find some methods to improve the quality of the image.
Image smoothing technology is an image strengthening method which aims to reduce noise from the image. The common noises of image mainly contain additive noise, multiplicative noise, etc. The noise in image and signal are always intertwined with each other, especially in multiplicative noise. If not smooth the image properly, it will make the details of the image itself, such as the boundary contour, lines and so on, get blurring . How to smooth out the noise while preserving the detail of the image as much as possible is the main task of image smoothing technology.
The present Paper describes the causes of image noise and noise classification and discusses the principles and methods of the mean filter, median filter and Bathurst low-pass filter in detail. The paper then introduced the DSPs, designed the basic hardware system of the DSP and discussed the DM6437 development platform in detail. From the program execution time and the image peak of SNR analyzed and compared. Finally we obtained their advantages and disadvantages of two smoothing technology by my analysis and comparison.
Key words: Image Smoothing; Median-Filter; Mean-Filter; Butterworth LPF; DM6437

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