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Fuzzy Sets and Systems - Special memorial volume on foundations of fuzzy reasoning
Two-dimensional signal and image processing
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An introduction to fuzzy control
An introduction to fuzzy control
Fuzzy sets and their application to pattern classification and clustering analysis
Fuzzy sets, fuzzy logic, and fuzzy systems
Genetically trained cellular neural networks
Neural Networks
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Industrial Applications of Fuzzy Control
Industrial Applications of Fuzzy Control
Spatially Adaptive Image Restoration by Neural Network Filtering
SBRN '02 Proceedings of the VII Brazilian Symposium on Neural Networks (SBRN'02)
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IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 3 - Volume 3
Pattern recognition using type-II fuzzy sets
Information Sciences—Informatics and Computer Science: An International Journal
Image denoising based on the edge-process model
Signal Processing
Image denoising with complex ridgelets
Pattern Recognition
An RBFN-Wiener hybrid filter using higher order signal statistics
Applied Soft Computing
A hybrid image restoration approach: Using fuzzy punctual kriging and genetic programming
International Journal of Imaging Systems and Technology
Automatic Estimation and Removal of Noise from a Single Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine learning based adaptive watermark decoding in view of anticipated attack
Pattern Recognition
Information Sciences: an International Journal
Spatially adaptive image restoration using fuzzy punctual kriging
Journal of Computer Science and Technology
Image Denoising with Kernels Based on Natural Image Relations
The Journal of Machine Learning Research
Knowledge and Information Systems
A robust approach to image enhancement based on fuzzy logic
IEEE Transactions on Image Processing
Spatially adaptive wavelet thresholding with context modeling for image denoising
IEEE Transactions on Image Processing
The curvelet transform for image denoising
IEEE Transactions on Image Processing
Image denoising using scale mixtures of Gaussians in the wavelet domain
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Multiscale LMMSE-based image denoising with optimal wavelet selection
IEEE Transactions on Circuits and Systems for Video Technology
Structure and properties of generalized adaptive neural filters for signal enhancement
IEEE Transactions on Neural Networks
Impulse noise filtering based on noise-free pixels using genetic programming
Knowledge and Information Systems
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In this paper, we present a hybrid, image restoration approach. The proposed approach combines the geostatistical interpolation of punctual kriging, artificial neural networks (ANNs), and fuzzy logic based approaches. Images degraded with Gaussian white noise are restored by first utilizing fuzzy logic for selecting pixels that needs kriging. Three fuzzy systems are employed. Both type-I and type-II fuzzy sets in addition with neuro fuzzy classifier (NFC) have been used for the detection of noisy pixels. To avoid edge pixels, a post processing technique is used to check the edge pixel connectivity up to lag 5. If the pixel under consideration is an edge pixel, it is excluded from the fuzzy map and thus not estimated. The concept of punctual kriging is then used to estimate the intensity of a noisy pixel. ANN is employed to minimize the cost function of the kriging based pixel intensity estimation procedure. ANN, in contrast to analytical methodologies, avoids both matrix inversion failure and negative weights problems. Image restoration performance based comparison has been made against adaptive Weiner filter and existing fuzzy kriging approaches. Experimental results using 450 images are used to validate the effectiveness of the proposed approach. Different image quality measures are used to compare the efficacy of the proposed NFC and fuzzy type-II approaches for detecting noisy pixels in conjunction with ANN and kriging based estimation.