Multi-denoising based impulse noise removal from images using robust statistical features and genetic programming

Removing random-valued impulse noise in images using a neural network detector

(2014) İlke TÜRKMEN   Turkish Journal of Electrical Engineering and Computer Sciences

A new method to remove random-valued impulse noise in images

(2013) Ilke Turkmen   AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS

Edge preservation of impulse noise filtered images by improved anisotropic diffusion

(2013) Nafis Uddin Khan et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A Patch-Based Approach for Removing Impulse or Mixed Gaussian-Impulse Noise

(2013) Julie Delon et al.   SIAM Journal on Imaging Sciences

Restoration of Images Corrupted by Impulse Noise and Mixed Gaussian Impulse Noise Using Blind Inpainting

(2013) Ming Yan   SIAM Journal on Imaging Sciences

A Universal Denoising Framework With a New Impulse Detector and Nonlocal Means

(2011) Bo Xiong et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Impulse noise filtering based on noise-free pixels using genetic programming

(2011) Abdul Majid et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Switching-based filter based on Dempster’s combination rule for image processing

(2010) Tzu-Chao Lin   INFORMATION SCIENCES

Optimal depth estimation by combining focus measures using genetic programming

(2010) Muhammad Tariq Mahmood et al.   INFORMATION SCIENCES

A new method for removing mixed noises

(2010) Bing Li et al.   Science China-Information Sciences

An efficient approach for the removal of impulse noise from the corrupted image using neural network based impulse detector

(2009) G. Kaliraj et al.   IMAGE AND VISION COMPUTING

Universal Impulse Noise Filter Based on Genetic Programming

(2008) N.I. Petrovic et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING