Gradient sensitive kernel for Image Denoising, using Gaussian Process Regression
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8,738 citations
"Gradient sensitive kernel for Image..." refers background in this paper
...This kernel can be related to the bilateral Kernel introduced in [17] which measures both spatial and radiometric distances....
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7,912 citations
"Gradient sensitive kernel for Image..." refers background or methods in this paper
...Mostly these denoising techniques are aimed at a particular noise model [4], [14] and thus do not effectively capture the real life complex noise models....
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...techniques that are being actively pursued include waveletbased methods [4], [14], neighborhood filters based methods [1], methods based on Partial Differential Equations [11], and fractal theory based methods [6]....
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...State-of-art generative models usually combine different sources to achieve better results [4], [7]....
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6,804 citations
"Gradient sensitive kernel for Image..." refers methods in this paper
...Taking inspiration from NL-means [2] he designed a Kernel which measured both spatial and...
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...Taking inspiration from NL-means [2] he designed a Kernel which measured both spatial and neighborhood similarity....
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4,153 citations
"Gradient sensitive kernel for Image..." refers background or methods in this paper
...techniques that are being actively pursued include waveletbased methods [4], [14], neighborhood filters based methods [1], methods based on Partial Differential Equations [11], and fractal theory based methods [6]....
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...Similar kernels have found application in other well-known denoising techniques [1]....
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2,439 citations
"Gradient sensitive kernel for Image..." refers background or methods in this paper
...Mostly these denoising techniques are aimed at a particular noise model [4], [14] and thus do not effectively capture the real life complex noise models....
[...]
...Markov Random Field based pixel similarity models [3], [12], or patch-based mixture models [14] are popular approaches [18]....
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...techniques that are being actively pursued include waveletbased methods [4], [14], neighborhood filters based methods [1], methods based on Partial Differential Equations [11], and fractal theory based methods [6]....
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