Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatial-rank order selection filters
Nonlinear image processing
Digital Image Processing: PIKS Scientific Inside
Digital Image Processing: PIKS Scientific Inside
Mathematical Problems in Image Processing: Partial Differential Equations and the Calculus of Variations (Applied Mathematical Sciences)
Nonlocal Image and Movie Denoising
International Journal of Computer Vision
Wavelet Based Image Denoising Using Adaptive Thresholding
ICCIMA '07 Proceedings of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) - Volume 03
Combining pixon concept with wavelet thresholding in medical image segmentation
MEMEA '09 Proceedings of the 2009 IEEE International Workshop on Medical Measurements and Applications
Adaptive fuzzy filtering for artifact reduction in compressed images and videos
IEEE Transactions on Image Processing
Sinogram denoising of cryo-electron microscopy images
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
Image enhancement and denoising by complex diffusion processes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image segmentation and edge enhancement with stabilized inverse diffusion equations
IEEE Transactions on Image Processing
Adaptive wavelet thresholding for image denoising and compression
IEEE Transactions on Image Processing
A note on cubic convolution interpolation
IEEE Transactions on Image Processing
Image denoising using scale mixtures of Gaussians in the wavelet domain
IEEE Transactions on Image Processing
Pixon-based image segmentation with Markov random fields
IEEE Transactions on Image Processing
The fuzzy transformation and its applications in image processing
IEEE Transactions on Image Processing
Multiscale segmentation with vector-valued nonlinear diffusions on arbitrary graphs
IEEE Transactions on Image Processing
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In this paper, we have proposed two extensions to pixon-based image modeling. The first one is using bicubic interpolation instead of bilinear interpolation and the second one is using fuzzy filtering method, aiming to improve the quality of the pixonal image. Finally, partial differential equations (PDEs) are applied on the pixonal image for noise removing. The proposed algorithm has been examined on variety of standard images and their performance compared with the existing algorithms. Experimental results show that in comparison with the other existing methods, the proposed algorithm has a better performance in denoising and preserving image edges.