Low Noise Rim Preserving Filter
Anila Dhingra, Varsha Joshi · 2016
The low noise & high précised rim preserving image processing filter overcome the limitation of Wiener filter & Kuwahara filter have large value of minimum symbol rate, root mean square error, peak signal to signal noise ratio, normalized mean square error & mean absolute error. Rim Preserving image processing filter has Minimum symbol error rate is 675.6142. Root mean square error rate is 25.9926, Peak signal to signal to noise ratio is 19.8338, Normalized mean square error is 6.1583e-005, Minimum absolute error is 20.2073. The main idea of the Rim Preserving filter is to use the hybrid filter that's built up of Mean and Median filter.When we pass an image of 256x256 across the designed filter so we start computing the image from the leftmost corner by selecting the 3x3 matrixpass throughit from the designed filter and then repeat this process till the completion of whole so it reduces noise but in between a transmitting and receiving section there is a channel through which additive noise is also introduce. But, the percentage of error introduced by channelis reduced due to Rim Preserving Filter. So, it would help in improving the strength of Signal to Noise Ratio.