Impulse noise removal using improved leading diagonal sorting algorithm
R. Rajkumar, Sultana Banu · 2016
The article considers the prefect noise free images. The images which are get from camera and mixed with the unwanted signals due to vibrations, humidity, dust, smoke, etc., In industrial environment the above factors are common to make noise in capture images. We want to make the noise free image with the consideration of restore fine pixel of image. De-noise is the method to remove the noise but it misunderstand to remove original pixels and edges of images. In this paper consider to make efficient method (Improved Leading Sorting algorithm) to make better images and preserve edges. The proposed method of Improved Leading Diagonal Sorting Algorithm (ILDS) compared with Standard algorithms of Trimmed Median Filter (TMF), Existing LDS. The sample images of Lena, Baboon, and Lady-image with the noise density of 10 to 50% with restore images.