1 打开一个BMP文件，将其局部区域的灰度值进行改变，另存为一个新的BMP文件，要求显示出原BMP图像和新BMP图像。



2．编程实现图像傅立叶高通、低通滤波。



3.打开一幅图像，添加椒盐、高斯噪声，然后使用邻域平均法、中值滤波法、K邻近平均法进行平滑



4.打开一幅图像，利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化，并比较结果。



5.编写一个程序，对输入的图像进行哈夫曼编码，显示原图像的熵、编码后的平均码字长度、并能够根据编码重建出图像



6.在图像中生成一个矩形，然后用模板匹配法找出矩形位置。使用SSDA或改进的SSDA法。-1) open a BMP file, change the gray values ​ ​ of its local area, and save it as a BMP file, the request shows the original BMP images and BMP images.



2. Programming image Fourier high-pass, low-pass filtering.



3 Open an image, add salt and pepper, Gaussian noise, and then use the neighborhood average, median filter, K adjacent average method for smoothing



4 Open an image using the Roberts gradient method, Sobel operators and Laplacian sharpening for, and compare the results.



5 to write a program, Huffman coding of the input image, the display of the original image entropy, and the average code word length of the encoded, and be able to reconstruct the image according to the coding



6. Generate a rectangle in the image, and then use the template matching method to identify the position of the rectangle. Using SSDA or improved SSDA method.