Fundamentals of digital image processing
Fundamentals of digital image processing
Removing Noise and Preserving Details with Relaxed Median Filters
Journal of Mathematical Imaging and Vision
Image Denoising Using Hidden Markov Models
EurAsia-ICT '02 Proceedings of the First EurAsian Conference on Information and Communication Technology
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Digital Image Processing: PIKS Scientific Inside
Digital Image Processing: PIKS Scientific Inside
Automatic Estimation and Removal of Noise from a Single Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Adaptive Median Filter for Image Denoising
IITA '08 Proceedings of the 2008 Second International Symposium on Intelligent Information Technology Application - Volume 02
Image Denoising Using Weighted Averaging
CMC '09 Proceedings of the 2009 WRI International Conference on Communications and Mobile Computing - Volume 01
AN l1-TV algorithm for deconvolution with salt and pepper noise
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
A Nonlinear Filter Based on Row and Column Operation for Positive Impulsive Noise Reduction
APCIP '09 Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02
Optimal weighted median filtering under structural constraints
IEEE Transactions on Signal Processing
Fast and efficient median filter for removing 1-99% levels of salt-and-pepper noise in images
Engineering Applications of Artificial Intelligence
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This paper describes a new technique for the design of Adaptive Median Filtering Technique, aimed at removing the impulse noise (salt and pepper noise) from the image and reducing distortion in the image. The filter is designed to reconfigure itself and provide real-time noise reduction. This paper investigates a high-speed non-linear Adaptive median filter implementation. Then Adaptive Median Filter serves the dual purpose of removing the impulse noise from the image and reducing distortion in the image. Adaptive Median Filtering can achieve the filtering operation of an image corrupted with impulse noise up to 70%.