bmp format, and six kinds of commonly used image enhancement algorithm to the study, this paper discusses in detail the digital image enhancement techniques involved in image smoothing, median filtering, sharpening the gradient, Laplacian sharpening, gray, and gray-scale stretch balance the basic algorithm and its application in Visual C++ 6.0 under the concrete implementation, sets out the basic algorithm of image enhancement involving the critical source code, while both algorithms in each image were given a standard digital image before and after treatment for dealing with the control image.

拉普拉斯锐化（边缘检测）\拉普拉斯锐化（边缘检测）\测试图片\原始lena图像.bmp
........................\........................\........\经拉普拉斯锐化之后.bmp
........................\........................\源代码\dibapi.cpp
........................\........................\......\dibapi.h
........................\........................\......\MainFrm.cpp
........................\........................\......\MainFrm.h
........................\........................\......\mydib.cpp
........................\........................\......\mydib.h
........................\........................\......\MyDIP.aps
........................\........................\......\MyDIP.clw
........................\........................\......\MyDIP.cpp
........................\........................\......\MyDIP.dsp
........................\........................\......\MyDIP.dsw
........................\........................\......\MyDIP.h
........................\........................\......\MyDIP.rc
........................\........................\......\MyDIPDoc.cpp
........................\........................\......\MyDIPDoc.h
........................\........................\......\MyDIPView.cpp
........................\........................\......\MyDIPView.h
........................\........................\......\ReadMe.txt
........................\........................\......\..lease\MyDIP.exe
........................\........................\......\res\MyDIP.ico
........................\........................\......\...\MyDIP.rc2
........................\........................\......\...\MyDIPDoc.ico
........................\........................\......\...\Toolbar.bmp
........................\........................\......\Resource.h
........................\........................\......\StdAfx.cpp
........................\........................\......\StdAfx.h
........................\测试图片\原始lena图像.bmp
........................\........\经拉普拉斯锐化之后.bmp
........................\源代码\dibapi.cpp
........................\......\dibapi.h
........................\......\MainFrm.cpp
........................\......\MainFrm.h
........................\......\mydib.cpp
........................\......\mydib.h
........................\......\MyDIP.aps
........................\......\MyDIP.clw
........................\......\MyDIP.cpp
........................\......\MyDIP.dsp
........................\......\MyDIP.dsw
........................\......\MyDIP.h
........................\......\MyDIP.rc
........................\......\MyDIPDoc.cpp
........................\......\MyDIPDoc.h
........................\......\MyDIPView.cpp
........................\......\MyDIPView.h
........................\......\ReadMe.txt
........................\......\..lease\MyDIP.exe
........................\......\res\MyDIP.ico
........................\......\...\MyDIP.rc2
........................\......\...\MyDIPDoc.ico
........................\......\...\Toolbar.bmp
........................\......\Resource.h
........................\......\StdAfx.cpp
........................\......\StdAfx.h
........................\拉普拉斯锐化（边缘检测）\源代码\Release
........................\........................\......\res
........................\........................\测试图片
........................\........................\源代码
........................\源代码\Release
........................\......\res
........................\拉普拉斯锐化（边缘检测）
........................\测试图片
........................\源代码
拉普拉斯锐化（边缘检测）

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