A Survey of Image Denoising and Noising Technique
- Rachita Kansal
- Bhumika Garg
Image Processing, Denoising, Nosing, Filtering Technique
Most image processing applications require noise elimination. For example, in applications where derivative operators are applied, any noise in the image can result in serious errors. Impulsive noise appears as a sprinkle of dark and bright spots. Transmission errors, corrupted pixel elements in the camera sensors, or faulty memory locations can cause impulsive noise. Linear filters fail to suppress impulsive noise. Many linear and nonlinear filtering techniques have been proposed earlier to remove impulse noise, however these filter often bring along blurred and distorted image of details. Filtering an image to attenuate noise while keeping the image details preserved is one of the most important issue
Rachita Kansal, Bhumika Garg. "A Survey of Image Denoising and Noising Technique".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.4, Issue 3, pp.720-723, URL :https://rjwave.org/ijedr/papers/IJEDR1603118.pdf
Volume 4 Issue 3
Pages. 720-723