The Study of Combination Filtering for Removing Mixed Noise of Remote Sensing Image

Abstract:

The traditional combination filter method in the practical process is often two layers of composite filtering de-noising for the image containing the gaussian mixture noise and pulse noise. This paper proposes a three filter combination algorithm based on the two layers filters, To the Gaussian and pulse mixed noise of the remote sensing image, we use wavelet threshold de-nosing and adaptive median filter de-nosing, and then using the third layer adaptive Wiener filtering de-noising to remove the residual noise. Through theoretical analysis and practical application, the de-nosing results of this method is obvious in processing mixed noise of remote sensing image, this is a practical method of combination filtering de-noising, it can be widely used in the field of image processing.

• Periodical: Advanced Materials Research (Volumes 989-994)
• Pages: 3881-3884
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.989-994.3881
• Online since: July 2014
• Authors: Cui Zhou*, Jing Hong Zhou, Dong Hao Fan
• Keywords: Adaptive Median Filter, BayesShrink Threshold, Combination Filter, Gaussian Noise, Impulse Noise, Remote Sensing Image Denoising, Wiener Filter

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