1) read and save the image. 2) design a graphical user interface, allowing users to carry out any of the images adjusted for changes in brightness and contrast, display and compare the images before and after transformation. 3) design a graphical user interface, allowing users to select the image region of interest with the mouse, display and save the selected area. 4) write a program through the nearest neighbor interpolation and bilinear interpolation algorithms, such as the user selected image area to zoom in and out several times throughout the operation, and save, comparison of several interpolation results. 5) The image histogram and histogram equalization, histogram display statistics required to compare the results after histogram equalization. 6) can join a variety of image noise, and filtered through several denoising algorithms and displays the results. Compare denoising results.

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