Restoration of images blurred by circular motion

Ribarić, Slobodan; Milani, Muhammed; Kalafatić, Zoran

doi:10.1109/ispa.2000.914891

Cited by 16 publications

(15 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The principal point P and the intersection between the image plane and the rotation axis C = π ∩ a then coincide. Analogous blur is obtained when a ⊥ π and V / ∈ a, but the capture scene is planar and parallel to π (Ribaric et al, 2000).…”

Section: Problem Formulationmentioning

confidence: 77%

“…Circular blurring paths are obtained also when a is parallel to the optical axis and the scene is planar and parallel to the image plane (Ribaric et al, 2000;Hong and Zhang, 2003). In this case C can be determined by a Generalized Hough Transform (Ballard, 1987).…”

Section: Voting Procedures For Circular Blurring Pathsmentioning

confidence: 99%

“…Once C has been determined, it is possible to transform Mα ,β (z) (the image projected on π C ) on a polar lattice (ρ, θ) w.r.t to Mα ,β (C) (Ribaric et al, 2000). On the polar lattice, the blur is space invariant with the PSF directed along lines ρ = const.…”

Section: Angular Speed Estimationmentioning

confidence: 99%

See 2 more Smart Citations

Estimating Camera Rotation Parameters From a Blurred Image

Boracchi

Caglioti

Danesea

2008

Proceedings of the Third International Conference on Computer Vision Theory and Applications

View full text Add to dashboard Cite

Abstract:A fast rotation of the camera during the image acquisition results in a blurred image, which typically shows curved smears. We propose a novel algorithm for estimating both the camera rotation axis and the camera angular speed from a single blurred image. The algorithm is based on local analysis of the blur smears. Contrary to the existing methods, we treat the more general case where the rotation axis can be not orthogonal to the image plane, taking into account the perspective effects that in such case affect the smears. The algorithm is validated in experiments with synthetic and real blurred images, providing accurate estimates.

show abstract

Section: Problem Formulationmentioning

confidence: 77%

Section: Voting Procedures For Circular Blurring Pathsmentioning

confidence: 99%

See 1 more Smart Citation

Estimating Camera Rotation Parameters From a Blurred Image

Boracchi

Caglioti

Danesea

2008

Proceedings of the Third International Conference on Computer Vision Theory and Applications

View full text Add to dashboard Cite

show abstract

“…Noting that the rotary blur becomes spatially invariant among pixels with equivalent radius, a coordinate transform method [2] and the Bresenham circle based method [3] are proposed to deblur degraded images on a circle basis. These methods transplant the deconvolution method exclusive for the spatially invariant blur into this field.…”

Section: Introductionmentioning

confidence: 99%

Robust image restoration for rotary motion degradations and the motion parameter identification

Zhu²

2008

2008 15th IEEE International Conference on Image Processing

View full text Add to dashboard Cite

This paper constructs a frequency domain framework to deblur rotary degradation. The proposed method quantifies the rotary blur mechanism as frequency response and yields mean-square optimal estimation for original pixels under different noise levels. Then we present two methods to identify motion parameters. To detect correct rotary center, we propose a novel interval-searching method that works on the degraded pixel spectrum. The method is robust to noise. And a divide-conquer method is presented to iteratively calibrate the blur angle. Experimental results illustrate the frequency method outperforms spatial algorithms by up to 0.5 ~ 4 dB in Peak-Signal-Noise-Ratio (PSNR) and prove the methods for parameter identifications effective.

show abstract

“…Some other methods have re-covered the rotationally blurred images by transforming the rectangular coordinate of the image into polar coordinates or lattices, in which the transformed blur is spatially invariant. After that they applied some restoration techniques applicable in rectangular coordinates, and the de-blurred images were finally returned by the inverse transformation [3,4].…”

mentioning

confidence: 99%

A new method for eliminating blur caused by the rotational motion of the images

Sanipour

Akhlaghi

2015

Preprint

View full text Add to dashboard Cite

Abstract-The aim of this investigation is to evaluate a new method for blur elimination caused by rotational motion of any object, assuming at the center and the angle of the rotation are known. In this new method, which is called Enhanced Rotational De-convolution Conjugate Gradient (ERD-CG), first we enhanced the RD method for the blurred images, and then we combined the ERD method with the CG method (which is the reconstruction of iterative method). The experimental results are promising and show that the proposed method outperforms both RD and CG, significantly.

show abstract

Restoration of images blurred by circular motion

Abstract: The problem of restoring images blurred by circular motion is considered in the paper. In order to simplify the process of deblurring, the original image in the (x,y) plane is transformed into polar plane ( p , 4). This simplifies the blur model, resulting in one-dimensional integration.

Cited by 16 publications

References 5 publications

Estimating Camera Rotation Parameters From a Blurred Image

Estimating Camera Rotation Parameters From a Blurred Image

Robust image restoration for rotary motion degradations and the motion parameter identification

A new method for eliminating blur caused by the rotational motion of the images

Contact Info

Product

Resources

About