Comparative Analysis of Various Median Filters Using Peak Signal TO Noise Ratio (PSNR)
S. Sankari Saranya, K G Shanthi · 2014
Image Processing and Image Enhancement play a vital role in numerous applications. The image enhancement technique is to improve the interpretability and the visual appearance of an image or to provide better input for other automated image processing techniques. Image enhancement techniques enhance the visibility of any portion or feature of the image by suppressing the unwanted information. The objective is to increase the image quality by removing blurring and noise. The restorations of grayscale and color images are highly corrupted by impulse noise. The proposed work compares the modified non-linear filter algorithm with other existing algorithms such as Adaptive Median Filter (AMF), Decision Based Median Filter (DBMF), Switching Median Filter (SMF), Modified Decision Based Median Filter (MDBMF). The proposed algorithm considers different grayscale and color images. It is based on the parameters such as Peak Signal-to-Noise Ratio (PSNR) and Mean Square Error (MSE). The modified non-linear filter is used to enhance the image effectively which is used in further image processing operations.