• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.5
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• pp.1055-1063
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• 2012

The noise of image is added by many environmental factors. Therefore, we need to remove these noises using the conventional filtering methods, which are optimized based on the statistical characteristic of noise. In direct restoration method, there is an inverse filter and the wiener filter. Here, the wiener filter is the optimized filter in the view of least square method. First, we are going to study the inverse filter, wiener filter, constraint least square filter. Second, in order to control the quantity, we use the parameters instead of the power spectrum ratio. But, these parameters have the conflicting condition, therefore, we optimized the variables using parametric wiener filter which adjust the application appropriately. In the simulation results, the contrast of the degraded image was enhanced and the noise was removed. Comparative experimentation was demonstrated edge preserving and noise removing property.

• Journal of the Korea Society of Computer and Information
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• v.13 no.2
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• pp.121-125
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• 2008

According to the development of software and hardware about multimedia technologies, images are used to store information extracted from data. Noises by various causes, however, are added in the process of forming images, recording and transmitting in ubiquitous environments. In image restoration viewpoints to remove them. appropriate filtering methodologies, wiener of mean etc, are utilized. Various ways for image restoration are studied as well. Therefore, in this paper, we Propose user defined image restoration that applies the most appropriate parameters for image restoration and show the implementation result of the system using various parameters including mean filter and wiener filter to advance quality of degraded source image affected by noise in ubiquitous environment and medical fields.