Title :
Use of blur-space for deblurring and edge-preserving noise smoothing
Author_Institution :
Maersk Inst. for Production Technol., Southern Denmark Univ., Odense, Denmark
fDate :
6/1/2001 12:00:00 AM
Abstract :
The Gaussian blur-space for an unblurred nD-image I is the set of the images obtained by blurring I with multivariate nD-Gaussians. Using the variance, instead of the standard deviation, of a Gaussian as blur parameter makes it simpler to extrapolate a deblurred image from a blurred image. Unsharp masking is shown to be a special case of the use of blur-space. Algorithms using blur-space for deblurring and edge-preserving noise smoothing, without explicit edge detection, are described and implemented
Keywords :
Gaussian processes; extrapolation; image processing; noise; smoothing methods; Gaussian blur-space; algorithms; blur parameter; blur-space; deblurred image; edge-preserving noise smoothing; extrapolation; image acquisition; image deblurring; multivariate Gaussians; noise corrupted image; unsharp masking; Filters; Gaussian noise; Image edge detection; Image processing; Image restoration; Information technology; Pixel; Production; Smoothing methods; Steel;
Journal_Title :
Image Processing, IEEE Transactions on
