Noisy image upsampling based on improved bilateral filtering combined with edge extraction

In this paper, we research the problem that upsampling noisy image. We compare location-based upsampling and bilateral filtering and discuss the relationship between bilateral filtering and noisy image upsampling. For getting a better upsampling result for noisy image, we propose an improved method to upsample noisy image based on bilateral filtering combined with edge extraction. Experimental results show that the method is effective and stable.

[1]  Frédo Durand,et al.  Non-iterative, feature-preserving mesh smoothing , 2003, ACM Trans. Graph..

[2]  Roberto Manduchi,et al.  Bilateral filtering for gray and color images , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[3]  Jean-Michel Morel,et al.  A Review of Image Denoising Algorithms, with a New One , 2005, Multiscale Model. Simul..

[4]  Stéphane Mallat,et al.  Deconvolution by thresholding in mirror wavelet bases , 2003, IEEE Trans. Image Process..

[5]  Jean-Michel Morel,et al.  A non-local algorithm for image denoising , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[6]  Said E El-Khamy,et al.  Blind multichannel reconstruction of high-resolution images using wavelet fusion. , 2005, Applied optics.

[7]  Charlie C. L. Wang,et al.  Bilateral recovering of sharp edges on feature-insensitive sampled meshes , 2006, IEEE Transactions on Visualization and Computer Graphics.

[8]  Frédo Durand,et al.  A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach , 2006, International Journal of Computer Vision.

[9]  Sara Sharifzadeh,et al.  A new method for image segmentation based on Fuzzy C-means algorithm on pixonal images formed by bilateral filtering , 2011, Signal Image Video Process..

[10]  Leonard McMillan,et al.  Multispectral Bilateral Video Fusion , 2007, IEEE Transactions on Image Processing.