2010Computer Engineering and Applications JournalRequires access

Image processing method using mixed non-linear Butterworth filter

HU Mao-lin

Open publisher page 2 citations

Abstract

This paper describes a kind of mixed non-linear Butterworth filter based on the detailed analysis of the Butterworth low pass filter and that of the Butterworth high pass filter,and also,experiments are executed separately using these three types of filter to verify the intuitive validity of them.Besides,the criterion of Signal-to-Noise Rate SNR and signal-to-noise improving factor R are implied in the experiments in which the images are mixed with Gaussian,salt pepper,speckle noises to compare the filtering effects of them from the view of statistics.The results show that the mixed non-linear Butterworth filter can depress the noise,maintain the details of the image,and it takes both the merits of Butterworth low-pass filter and high-pass filter,and also,the calculation is not complex,and therefore it turns out to be an active method to be realized.

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What this paper is about

This paper describes a kind of mixed non-linear Butterworth filter based on the detailed analysis of the Butterworth low pass filter and that of the Butterworth high pass filter,and also,experiments are executed separately using these three types of filter to verify the intuitive validity of them.Besides,the criterion of Signal-to-Noise Rate SNR and signal-to-noise improving factor R are implied in the experiments in which the images are mixed with Gaussian,salt pepper,speckle noises to compare the filtering effects of them from the view of statistics.The results show that the mixed non-linear Butterworth filter can depress the noise,maintain the details of the image,and it takes both the merits of Butterworth low-pass filter and high-pass filter,and also,the calculation is not complex,and therefore it turns out to be an active method to be realized.

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Available abstract

This paper describes a kind of mixed non-linear Butterworth filter based on the detailed analysis of the Butterworth low pass filter and that of the Butterworth high pass filter,and also,experiments are executed separately using these three types of filter to verify the intuitive validity of them.Besides,the criterion of Signal-to-Noise Rate SNR and signal-to-noise improving factor R are implied in the experiments in which the images are mixed with Gaussian,salt pepper,speckle noises to compare the filtering effects of them from the view of statistics.The results show that the mixed non-linear Butterworth filter can depress the noise,maintain the details of the image,and it takes both the merits of Butterworth low-pass filter and high-pass filter,and also,the calculation is not complex,and therefore it turns out to be an active method to be realized.

Key concepts: Butterworth filter, Filter (signal processing), Filter design, Low-pass filter, High-pass filter, Computer science, Control theory (sociology), Mathematics

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