Removal of High Density Impulse Noise of Aerial Insulator Image
نویسندگان
چکیده
منابع مشابه
Analysis of Image Noise Removal Methodologies for High Density Impulse Noise
Image noise removal is most important pre-processing step of image processing. Filtering method is emphasized for all types of de-noising schemes used for noise removal. In this paper, we have study about the different methods based on non-linear filter to remove the impulse noise from images. Different image noise removal algorithms are studied and some parameters are compared in a wide range ...
متن کاملRemoval of High Density Impulse Noise Using Cloud Model Filter
The fact that makes image denoising a difficult task is uncertainties in the impulse noise. The most knowledge in dayflies is uncertainty and erratic, unfortunately it is similar to impulse noise. The mathematic implements for handling uncertainty mostly are probability theory and fuzzy mathematics. That means, among the uncertainties involved in impulse noise, the randomness and the fuzziness ...
متن کاملComparative Study of High Density Impulse Noise Removal Method
Abstract— This Paper Presents Comparative Study of High Density Impulse Noise Removal method. Impulse noise is interference information pixels which result the black and white dots are spread distributed on the image. This type of noise can be caused by analog-to-digital converter errors, bit errors in transmission. Modified Mean-Median & ROM (MMM&R) filter that used to reduce impulse noise. Me...
متن کاملHigh-density impulse noise removal using fuzzy mathematical morphology
This paper proposes a filtering method for highdensity impulse noise removal based on the fuzzy mathematical morphology using t-norms. The method is a two phased method. In the first phase, an impulse noise detector based on the fuzzy tophat transforms is used to identify pixels which are likely to be contaminated by noise. In the second phase, the image is restored using a specialized regulari...
متن کاملRemoval of High Density Impulse Noise Using Boundary Discriminative Noise Detection Algorithm
Switching median filters are used as standard median filters for the removal of impulse noise which can do the filtering of candidate noisy pixels and leaving uncorrupted pixels. The boundary discriminative noise detection (BDND) is one powerful example in this class of filters. There are some issues related to the filtering step in the BDND algorithm that may degrade its performance. The propo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Signal Processing, Image Processing and Pattern Recognition
سال: 2014
ISSN: 2005-4254
DOI: 10.14257/ijsip.2014.7.6.27