Title :
A New Filtering Algorithm for Removing Salt-and-Pepper Noise
Author :
Yang, Ji-Hong ; Zhang, Min ; Xue, Ling-Yan ; Li, Shu-Bang
Author_Institution :
Sch. of Comput., Liaocheng Univ., Liaocheng, China
Abstract :
A new filtering algorithm for removing salt-and-pepper noise from gradation images was introduced. Eight directional templates and one nondirectional template were selected to smooth gray-scale images. First to judge which templates the pending pixel should belong to according to compatibility and similitude principle, then using the corresponding template to smooth the pending pixel.The salt-and-pepper noise in gradation images can be removed effectively as well as the margins and details can be kept well. This filtering algorithm can be more useful in the field of medical images pretreatment.
Keywords :
image denoising; median filters; smoothing methods; filtering algorithm; gradation image; gray-scale image; image margin; median filter; salt-and-pepper noise; smoothing method; Application software; Biomedical imaging; Filtering algorithms; Filters; Gray-scale; Noise reduction; Pixel; Pollution; Smoothing methods; Working environment noise; Gray-scale image; Keeping margins and details; Salt-and-pepper noise; Smoothing filtering;
Conference_Titel :
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3682-8
DOI :
10.1109/ESIAT.2009.23
