Fuzzy logic based edge detection in smooth and noisy clinical images
Edge detection has beneficial applications in the fields such as machine vision, pattern
recognition and biomedical imaging etc. Edge detection highlights high frequency …
recognition and biomedical imaging etc. Edge detection highlights high frequency …
A simple fuzzy method to remove mixed Gaussian-impulsive noise from color images
JG Camarena, V Gregori, S Morillas… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Mixed impulsive and Gaussian noise reduction from digital color images is a challenging
task because it is necessary to appropriately process both types of noise that in turn need to …
task because it is necessary to appropriately process both types of noise that in turn need to …
[PDF][PDF] A comparative study of mixed noise removal techniques
Mixed noises are a characteristic of combined noises acting on a single carrier. Various
mechanisms in recent past have been given in literature to restore images corrupted with …
mechanisms in recent past have been given in literature to restore images corrupted with …
An optimised fuzzy approach to remove mixed noise from images
S Deswal, S Singhania, S Gupta, P Garg - International Journal of Signal …, 2016 - earticle.net
Mixed noises can be defined as a combination of different types of noises acting on a single
carrier. There has been a mention of various mechanisms used to restore images corrupted …
carrier. There has been a mention of various mechanisms used to restore images corrupted …
[PDF][PDF] Comparison of noise removal techniques using bilateral filter
This paper compares the standard Bilateral Filter and its variants such as Modified Bilateral
Filter (MBF), Joint Bilateral Filter (JBF), Fuzzy Bilateral Filter (FBF) and Switching Bilateral …
Filter (MBF), Joint Bilateral Filter (JBF), Fuzzy Bilateral Filter (FBF) and Switching Bilateral …
Survivability and applicability in database constraints: temporal boundary to data integrity scenarios
L Camolesi - … Coding and Computing, 2004. Proceedings. ITCC …, 2004 - ieeexplore.ieee.org
Modern database systems manage very large volume of database constraints. The cost
spent in changing constraints is quite expensive because most of integrity requirements …
spent in changing constraints is quite expensive because most of integrity requirements …
A well-balanced and adaptive variational model for the removal of mixed noise
CAZ Barcelos, EZ Barcelos - Computers & Electrical Engineering, 2014 - Elsevier
Image denoising is one of the fundamental problems concerning image processing. Over
the last decade mathematical models based on partial differential equations and variational …
the last decade mathematical models based on partial differential equations and variational …
Variable window for outlier detection and impulsive noise recognition in range images
J Wang, L Mei, Y Li, JY Li, K Zhao… - 2014 14th IEEE/ACM …, 2014 - ieeexplore.ieee.org
To improve comprehensive performance of denoising range images, an impulsive noise (IN)
denoising method with variable windows is proposed in this paper. Founded on several …
denoising method with variable windows is proposed in this paper. Founded on several …
A rule-based instantaneous denoising method for impulsive noise removal in range images
J Wang, Z Yao, W Wang, L Mei, C Hu, Y Zhu, Y He… - 2013 - IET
To improve comprehensive performance of denoising range images, A rule-based
instantaneous denoising method for impulsive noise removal (RID-INR) is proposed in this …
instantaneous denoising method for impulsive noise removal (RID-INR) is proposed in this …
A sparseland model for deblurring images in the presence of impulse noise
H Zhang, Y Chen - 2012 19th IEEE International Conference on …, 2012 - ieeexplore.ieee.org
Joint image deblurring and denoising has long been an interesting problem. Traditional
deconvolution methods (like the ROF model) only work for Gaussian noise. Median-based …
deconvolution methods (like the ROF model) only work for Gaussian noise. Median-based …