Smoothen Edge Preservation using Rapid Bilateral Filter Process

Abstract

Images predict the real scenario of the human life. The images that are captured can be insensitive to noise. These noises destruct the images and as a result the image has the poor quality, leads to unreliable predictions.  Enhancing the contrast improves the brightness and contrast of the digital images.  Edge filtering is the recent research work on the high quality images and video. Edge features are extracted and preserved. The edge preservation filters has been 5proposed for handling the noise of the contrast images. This filter reduces the multi-resolution processing. Handling the multi-resolution images is a significant research challenge for the users on the edge filtering contrast images.  In this paper, Rapid Bilateral filtering process is proposed to filter the edges of the contrast images. This filter decomposes the image into several base layers. This filter process handles the high dynamic contrast images for smoothen the edge preservation. The result analysis shows that the filtering time has been reduced by 54% while comparing to the GUMA, HMRF, SWT and EHS methods.