Design and Hardware Implementation of Image Compression Denoising Based on Median Filter and Wavelet Transform

Wei Qu; Xiao Xin Sun

doi:10.4028/www.scientific.net/AMM.602-605.3218

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Design and Hardware Implementation of Image...

Design and Hardware Implementation of Image Compression Denoising Based on Median Filter and Wavelet Transform

Abstract:

An image compression denoising method based on median filter and wavelet transform is proposed in order to overcoming shortcomings of traditional methods of image processing in this paper. This method combined hardware parallelism with software technology is enable to achieve image compression denoising and take into account algorithm validation, and fast response of the system. An real-time image processing system is design by this method. Design and hardware implementation of fast median filtering algorithm based on EP1C12 FPGA chip is realized and software simulation of median filter and wavelet transform is done. The experimental results show that this system has advantages of fast response characteristic, less time consuming and high signal to noise ratio.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

3218-3222

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.3218

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Online since:

August 2014

Authors:

Wei Qu*, Xiao Xin Sun

Keywords:

FPGA, Image Compression, Image De-Noising, MATLAB, Median Filter, Wavelet Transform (WT)

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* - Corresponding Author

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