| With the development of digital information era, the needs of obtaining, processing and applying information are increasing steadily, and the technique of digital image processing is developing rapidly. The most popular image processing software can't meet the requirement of research on image processing because of its limitation. Currently, the design of simulation platform becomes a hot topic for image processing.Based on the background, this paper presents a simulation platform design method with MATLAB. The simulation platform design proposal is analyzed firstly, then the whole framework and the design flow chart of simulation platform are introduced. The simulation platform includes the fundamental functions of image processing, such as image enhancement, image transform, image analysis, wavelet analysis and so on. It is an extensible system that the users can add new functions to the platform and choice the type and value of parameters simply, even can realize the self-definition of parameters during the image processing. Researchers can work in convenient operation environment and increase their research efficiency used the simulation platform.Image Restoration is an important branch of image processing. A restoration algorithm pointing to Gauss blurred image type is presented in this paper. Combined estimation method of spread function with modified method of wiener filtering, the algorithm has increases estimation precision and signal-to-noise ratio. It can overcome the shortages of traditional algorithm, thus to highlight some important information of image and to increase the whole restoration quality of restored image. The higher precision, higher practicability and less computational complexity of the proposed restoration algorithm lead to its better values in applications.This paper has studied the application of simulation platform in image processing field, and the whole work is completed by incorporated with the restoration algorithm. |
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