|International Journal of Computer Applications
|Foundation of Computer Science (FCS), NY, USA
|Volume 36 - Number 7
|Year of Publication: 2011
|Authors: Prince Jain, Gurpreet Kaur
Prince Jain, Gurpreet Kaur . Analysis the Impact of Filters in Spatial Domain on Grayscale Image. International Journal of Computer Applications. 36, 7 ( December 2011), 47-51. DOI=10.5120/4506-6372
Computer graphics is the branch of computer science which deals with the study of graphics and images. Advancement in the technology brings the development in the image processing techniques, which deals with the image acquisition, image enhancement, restoration etc. Different type of noise got added up to the image while image acquisition leading to the final corrupted image. The main objective of this paper is to remove noise from the gray scale images to better understand the contents of the original image by applying various filter algorithms to get the blurred free and noise free image. For this an algorithm is developed and presented in shape of flowchart. This paper compares the different filters used for the noise removal from an image. It studies various filters for noise removal and finds the opinion that which is best for every type of image. As every image processing algorithms works differently for different image, there are different methods to deal with different types of noise.