Impulse Noise Removal Using Mean Based Leading Diagonal Algorithm

The article considers the prefect impulse noise free images. The images which are captured from camera and mixed with the unwanted signals due to vibrations, humidity, dust, smoke, etc., in image processing, the above factors are common in imposing noises in the captured images. The research is to make the noise free image with the consideration of restore fine details of image. This leads to efficient noise removal in outcome. The impulse noise removal algorithm based on sorting methods on this paper considers Mean Based Leading Diagonal method without sorting to improve the computational speed of algorithm execution and preserve the fine details of images affected by impulse noise. The proposed method is compared with Standard algorithms of existing Mean Filter (MF) and Existing Alpha Trimmed Mean Filter.