Robust regression and outlier detection
Robust regression and outlier detection
SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
Fast bilateral filtering for the display of high-dynamic-range images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
ACM SIGGRAPH 2003 Papers
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
On the origin of the bilateral filter and ways to improve it
IEEE Transactions on Image Processing
Multispectral Bilateral Video Fusion
IEEE Transactions on Image Processing
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An approach is proposed to extend bilateral filtering to the vector case so as to simultaneously take spectral and spatial information into account by using spectral distances and multivariate Gaussian functions. To simplify the determination of the parameters of the corresponding covariance matrix, the data vectors are transformed to eigenspace through principal component analysis (PCA). By locally adapting to the spectral distribution in decorrelated PCA space, the proposed approach offers effective noise removal while keeping the spatial details in the band images. It also provides dynamic range enhancement of severely affected bands to make meaningful data extraction possible. Experimental results with the proposed approach using remote-sensed hyperspectral data demonstrate improved denoising and enhancement in comparison to existing methods.