A Hybrid Filter Consisting Image Denoising and Image Enhancement to Improve the Quality of MRI Images

Vivek Singh Rathore, Vivek Dubey, Santosh varshney

Abstract


In this paper , we have proposed a new hybrid model ,in this model there are image denoising and image enhancement techniques to improve the quality of biometrics images on three types of noise such as Salt and Pepper (SPN), Gaussian noise and Speckle (SPKN). Different noise variance has been removed in between .02 to .14 by using different types of filter such as median and High-pass spatial filter. Filter techniques are mainly used for smoothness and sharpening of images and extracting the useful information for the analysis for image processing The same concept is applied to the different images and they are compared with one another. The study is proposed with the help of Mean Square Errors (MSE), Peak-Signal to Noise Ratio (PSNR) and Signal to Noise ratio (SNR).So as to choose the appropriate noise for different filtering methods for any image. Results are simulated on MATLAB R2007b.

Keywords- Different images, image noise, Filter, Smoothness masking, Sharpening masking, PSNR, MSE and SNR


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DOI: https://doi.org/10.26483/ijarcs.v4i10.1867

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