Add to ORKGDefocused digital images may be effectively restored if the imaging system\u27s Optical Transfer Function (OTF) is known. In this paper, Wiener filtering based on known OTFs is applied to noisy, defocused images to characterize the conditions for useful restoration for a range of noise and defocus levels. Restoration mean-square-error is measured over these ranges as a function of a constant noise/object power spectrum ratio in the Wiener filter equation
Image restoration is to enhance the image quality which is blurred and noised from various defects w...
Wiener filtering, an iterative procedure which successively uses the Wiener-filtered signal as an im...
One-dimensional sections of digital images with space-variant blurs from an uncorrected optical syst...
Defocused digital images may be effectively restored if the imaging system\u27s Optical Transfer Fun...
The degradation of a photographic image can be caused by many factors such as a geometric distortion...
Abstract: In this paper, first, the performance of the Wiener filter in the frequency domain for ima...
Adaptive optics and speckle imaging are common methods for improving Fourier domain signal-to-noise ...
Digital image restoration requires some knowledge of the degradation phenomena in order to attempt a...
The restoration achieved on the basis of a Wiener scheme is an optimum since the restoration filter...
International audienceModern digital technology has made it possible to manipulate multi-dimensional...
Wiener filter, as the minimal mean square error estimator, is often used to restore degraded images....
Motion blur in images is usually modeled as the convolution of a point spread function (PSF) and the...
The image data from imaging system are always degraded by the environment and the imaging sensors. T...
Includes bibliographical references (pages 40-42)Image restoration is an important part of digital i...
Discretization of image restoration problems often leads to a discrete inverse ill posed problem: th...
Image restoration is to enhance the image quality which is blurred and noised from various defects w...
Wiener filtering, an iterative procedure which successively uses the Wiener-filtered signal as an im...
One-dimensional sections of digital images with space-variant blurs from an uncorrected optical syst...
Defocused digital images may be effectively restored if the imaging system\u27s Optical Transfer Fun...
The degradation of a photographic image can be caused by many factors such as a geometric distortion...
Abstract: In this paper, first, the performance of the Wiener filter in the frequency domain for ima...
Adaptive optics and speckle imaging are common methods for improving Fourier domain signal-to-noise ...
Digital image restoration requires some knowledge of the degradation phenomena in order to attempt a...
The restoration achieved on the basis of a Wiener scheme is an optimum since the restoration filter...
International audienceModern digital technology has made it possible to manipulate multi-dimensional...
Wiener filter, as the minimal mean square error estimator, is often used to restore degraded images....
Motion blur in images is usually modeled as the convolution of a point spread function (PSF) and the...
The image data from imaging system are always degraded by the environment and the imaging sensors. T...
Includes bibliographical references (pages 40-42)Image restoration is an important part of digital i...
Discretization of image restoration problems often leads to a discrete inverse ill posed problem: th...
Image restoration is to enhance the image quality which is blurred and noised from various defects w...
Wiener filtering, an iterative procedure which successively uses the Wiener-filtered signal as an im...
One-dimensional sections of digital images with space-variant blurs from an uncorrected optical syst...