Efficient Technique for Color Video Random Impulse Noise Removal
Sridhar Lakshmanan, Dr.V. Kavitha · CiiT international journal of digital image processing · 2012
This paper presents three steps fuzzy filters for the removal of both Impulse noise and Gaussian noise in color video sequences and image sequences performances is compared with other noise removal filters parameters such as MSE, PSNR etc. There are many causes of noise in a digital camera, most often leakage currents on the sensor at high ISO, shutter speed and aperture using lens etc. We propose a novel spatio temporal fuzzy based algorithm for noise filtering of Image based on a trapezoidal membership functions and also used in fuzzy set rules. Membership functions detects noisy pixel part and fuzzy set rules detects and removal of random impulse noise removal experimental results are obtained to show the feasibility of the proposed approach. These results are also compared to other filters by numerical measures and visual inspection.