"基于灰度直方图的数字图像增强系统方案研究与实现"

数字图像处理是指将图像信号转换成数字格式并利用计算机对其进行处理的过程。在图像处理中，图像增强技术对于提高图像的质量起着重要的作用。本文首先对图像增强的原理以及各种增强方法进行了概述，然后着重对灰度变换、直方图均衡化、平滑和锐化等几种常用的增强方法进行了深入的研究。在学习了数字图像的基本表示与处理方法的基础上，针对图像增强的普遍性问题，研究和实现了常用的图像增强方法与其算法。通过VC实验得出的实际处理效果来比照各种算法的优缺点，讨论不同的增强算法的适用场合，并对其图像增强方法进行了性能评价。 关键词：图像增强；直方图均衡化；灰度变换；平滑；锐化 Abstract: Digital image processing refers to converting image signal into digital format and using a computer to deal with the process. In image processing, image enhancement technology plays an important role in improving the quality of images. This paper first gives an overview of the principles of image enhancement and various enhancement methods, and then focuses on in-depth research on several commonly used enhancement methods such as grayscale transformation, histogram equalization, smoothing, and sharpening. Based on the fundamental representation and processing methods of digital images, this paper investigates and implements commonly used image enhancement methods and their algorithms. The actual processing effects obtained through VC experiments are used to compare the advantages and disadvantages of various algorithms, discuss the application scenarios of different enhancement algorithms, and evaluate the performance of their image enhancement methods.