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321
BLUR INVARIANT REGISTRATION OF ROTATED, SCALED AND SHIFTED IMAGES
"... In this paper, we propose a blur invariant image registra-tion method that can be used to register rotated, scaled and shifted images. The method is invariant to centrally symmet-ric blur including linear motion and out of focus blur. The method correlates log-polar sampled phase-only bispectrum sli ..."
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Cited by 1 (0 self)
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In this paper, we propose a blur invariant image registra-tion method that can be used to register rotated, scaled and shifted images. The method is invariant to centrally symmet-ric blur including linear motion and out of focus blur. The method correlates log-polar sampled phase-only bispectrum
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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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
Image registration using blur-invariant phase correlation
- IEEE Signal Processing Letters
, 2007
"... Abstract—In this paper, we propose an image registration method, which is invariant to centrally symmetric blur. The method utilizes the phase of the images and has its roots on phase correlation (PC) registration. We show how the even powers of the normalized Fourier transform of an image are invar ..."
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Cited by 4 (1 self)
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Abstract—In this paper, we propose an image registration method, which is invariant to centrally symmetric blur. The method utilizes the phase of the images and has its roots on phase correlation (PC) registration. We show how the even powers of the normalized Fourier transform of an image
Blurring-Invariant Riemannian Metrics for Comparing Signals and Images
"... We propose a novel Riemannian framework for comparing signals and images in a manner that is invariant to their levels of blur. This framework uses a log-Fourier representation of signals/images in which the set of all possible Gaussian blurs of a signal, i.e. its orbits under semigroup action of Ga ..."
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Cited by 1 (0 self)
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We propose a novel Riemannian framework for comparing signals and images in a manner that is invariant to their levels of blur. This framework uses a log-Fourier representation of signals/images in which the set of all possible Gaussian blurs of a signal, i.e. its orbits under semigroup action
Registration of N-D Images by Blur Invariants
"... . Registration of monomodal as well as multimodal images is a fundamental task in medical image processing. In this paper, the attention is paid to landmark matching. We present a new class of invariants dened on a volumetric neighborhood of a landmark. They are invariant to convolving the image ..."
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. Registration of monomodal as well as multimodal images is a fundamental task in medical image processing. In this paper, the attention is paid to landmark matching. We present a new class of invariants dened on a volumetric neighborhood of a landmark. They are invariant to convolving
Research Article Image Deconvolution by Means of Frequency Blur Invariant Concept
"... Copyright © 2014 B. Honarvar Shakibaei and P. Jahanshahi.This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Different blur invariant des ..."
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Copyright © 2014 B. Honarvar Shakibaei and P. Jahanshahi.This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Different blur invariant
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
Object Recognition from Local Scale-Invariant Features
"... An object recognition system has been developed that uses a new class of local image features. The features are invariant to image scaling, translation, and rotation, and partially invariant to illumination changes and affine or 3D projection. These features share similar properties with neurons in ..."
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Cited by 2739 (13 self)
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An object recognition system has been developed that uses a new class of local image features. The features are invariant to image scaling, translation, and rotation, and partially invariant to illumination changes and affine or 3D projection. These features share similar properties with neurons
Blur and Affine Moment Invariants
"... The paper is devoted to the recognition of objects and patterns deformed by imaging geometry as well as by unknown blurring. We introduce a new class of features invariant simultaneously to blurring by a centrosymmetric PSF and to affine transformation. As we prove in the paper, they can be construc ..."
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Cited by 1 (0 self)
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The paper is devoted to the recognition of objects and patterns deformed by imaging geometry as well as by unknown blurring. We introduce a new class of features invariant simultaneously to blurring by a centrosymmetric PSF and to affine transformation. As we prove in the paper, they can
Blurred image recognition by Legendre moment invariants
- IEEE Trans. Image Process
, 2010
"... Processing blurred images is a key problem in many image applications. Existing methods to obtain blur invariants which are invariant with respect to centrally symmetric blur are based on geometric moments or complex moments. In this paper, we propose a new method to construct a set of blur invarian ..."
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Cited by 4 (0 self)
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Processing blurred images is a key problem in many image applications. Existing methods to obtain blur invariants which are invariant with respect to centrally symmetric blur are based on geometric moments or complex moments. In this paper, we propose a new method to construct a set of blur
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