Impulsive noise removal from color images with morphological filtering
This addresses noise removal in color images for image processing applications, but it appears incremental as it builds on morphological filtering techniques.
The paper tackled impulse noise removal from color images using morphological filtering, showing that the algorithm effectively removes noise and compares favorably in image restoration metrics and processing speed with existing methods.
This paper deals with impulse noise removal from color images. The proposed noise removal algorithm employs a novel approach with morphological filtering for color image denoising; that is, detection of corrupted pixels and removal of the detected noise by means of morphological filtering. With the help of computer simulation we show that the proposed algorithm can effectively remove impulse noise. The performance of the proposed algorithm is compared in terms of image restoration metrics and processing speed with that of common successful algorithms.