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545
Image Registration using Blur Invariants in Wavelet Domain
"... Image registration is an important step in all image analysis and it performs the operation of overlaying images of the alike picture taken at various times, from various viewpoints, and/or by various sensors. The wavelet domain provides invariant that are centrally symmetric to blur. Blur invariant ..."
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to the spatial domain blur invariants which may result in misfocus registration of an image. Key words
Shiftable Multi-scale Transforms
, 1992
"... Orthogonal wavelet transforms have recently become a popular representation for multiscale signal and image analysis. One of the major drawbacks of these representations is their lack of translation invariance: the content of wavelet subbands is unstable under translations of the input signal. Wavel ..."
Abstract
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Cited by 562 (36 self)
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. Wavelet transforms are also unstable with respect to dilations of the input signal, and in two dimensions, rotations of the input signal. We formalize these problems by defining a type of translation invariance that we call "shiftability". In the spatial domain, shiftability corresponds to a
Removing camera shake from a single photograph
- ACM Trans. Graph
, 2006
"... Camera shake during exposure leads to objectionable image blur and ruins many photographs. Conventional blind deconvolution methods typically assume frequency-domain constraints on images, or overly simplified parametric forms for the motion path during camera shake. Real camera motions can follow c ..."
Abstract
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Cited by 325 (16 self)
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convoluted paths, and a spatial domain prior can better maintain visually salient image characteristics. We introduce a method to remove the effects of camera shake from seriously blurred images. The method assumes a uniform camera blur over the image and negligible in-plane camera rotation. In order
Restoring Images Degraded by Spatially-Variant Blur
- SIAM J. SCI. COMPUT
, 1997
"... Restoration of images that have been blurred by the effects of a Gaussian blurring function is an ill-posed but well-studied problem. Any blur that is spatially invariant can be expressed as a convolution kernel in an integral equation. Fast and effective algorithms then exist for determining the or ..."
Abstract
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Cited by 27 (8 self)
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Restoration of images that have been blurred by the effects of a Gaussian blurring function is an ill-posed but well-studied problem. Any blur that is spatially invariant can be expressed as a convolution kernel in an integral equation. Fast and effective algorithms then exist for determining
Restoring images degraded by spatially variant blur
- SIAM Journal on Scientific Computing
, 1998
"... Abstract. Restoration of images that have been blurred by the effects of a Gaussian blurring function is an ill-posed but well-studied problem. Any blur that is spatially invariant can be expressed as a convolution kernel in an integral equation. Fast and effective algorithms then exist for determin ..."
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Cited by 27 (0 self)
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Abstract. Restoration of images that have been blurred by the effects of a Gaussian blurring function is an ill-posed but well-studied problem. Any blur that is spatially invariant can be expressed as a convolution kernel in an integral equation. Fast and effective algorithms then exist
Modeling and Removing Spatially-Varying Optical Blur
"... Photo deblurring has been a major research topic in the past few years. So far, existing methods have focused on removing the blur due to camera shake and object motion. In this paper, we show that the optical system of the camera also generates significant blur, even with professional lenses. We in ..."
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Cited by 18 (1 self)
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introduce a method to estimate the blur kernel densely over the image and across multiple aperture and zoom settings. Our measures show that the blur kernel can have a non-negligible spread, even with top-of-the-line equipment, and that it varies nontrivially over this domain. In particular, the spatial
The Representation and Recognition of Action Using Temporal Templates
, 1997
"... A new view-based approach to the representation and recognition of action is presented. The basis of the representation is a temporal template --- a static vector-image where the vector value at each point is a function of the motion properties at the corresponding spatial location in an image seque ..."
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Cited by 235 (10 self)
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A new view-based approach to the representation and recognition of action is presented. The basis of the representation is a temporal template --- a static vector-image where the vector value at each point is a function of the motion properties at the corresponding spatial location in an image
Degraded Image Analysis: An Invariant Approach
- IEEE Trans. Pattern Analysis and Machine Intelligence
, 1998
"... Analysis and interpretation of an image which was acquired by a nonideal imaging system is the key problem in many application areas. The observed image is usually corrupted by blurring, spatial degradations, and random noise. Classical methods like blind deconvolution try to estimate the blur param ..."
Abstract
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Cited by 66 (16 self)
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of such features: the first one in the spatial domain and the second one in the frequency domain. We also derive so-called combined invariants, which are invariant to composite geometric and blur degradations. Knowing these features, we can recognize objects in the degraded scene without any restoration. Index
A Hybrid Method for Blur Invariants in Images using Contourlet Transforms
"... Radiometric degradation is a common problem in the image restoration part of many applications. The degradation may involve blurring, information loss due to sampling, quantization effects and various sources of noise. The purpose of image restoration is to estimate the original image from the degra ..."
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the degraded image. There is much research carried out in an effort to deblur such images. To tackle this problem, different blur invariants had existed so far. Wavelet domain blurs invariants are used only for discrete 2D signals in spatial domain where it is concentrated in centrally symmetric blurs and also
Motion Blur Concealment of Digital Video Using Invariant Features
"... Abstract. This paper deals with concealment of motion blur in image sequences. The approach is different from traditional methods, which at-tempt to deblur the image. Our approach utilizes the information in con-secutive frames, replacing blurred areas of the images with corresponding sharp areas fr ..."
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from the previous frames. Blurred but otherwise unchanged areas of the images are recognized using blur invariant features. A statis-tical approach for calculating the weights for the blur invariant features in frequency and spatial domains is also proposed, and compared to the unweighted invariants
Results 1 - 10
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545
