| Abstract | Digital images play vital role in medical image processing. The quality of the images affected by different
noises such as distortion and blurring. There are all affect the accuracy of the prediction. So it can be denoised
by various filtering algorithms. These algorithms help to improve the quality of the digital image and increase
the SNR (Signal-to-Noise Ratio) value. In this paper, a statistical filter has been proposed named as Fusion
filters, a modified version of Median filter and kalman filter by sorting the luma component values, then median
value has been assigned to the processing pixel value in a sliding window (4×4). Also, Median filter, Mean
filter, Kalman filter and proposed had taken for the comparative study. PSNR and MSE metrics are compared to
examine the performance and the quality of the image. The result shows that the proposed filter increases the
PSNR (Peak Signal to Noise ratio) and reduces MSE (Mean Square Error) metric values and produces good
results.
Keywords— Median filter, Mean filter, Kalman filter, image noises Finger Nail image denosing
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