Results 161 to 170 of about 13,900 (206)

Simple method for image deblurring

Applied Optics, 1983
A simple method for restoration of linearly blurred images is described utilizing a weak reference beam, coherence spoiling in one dimension, and a provision for scale change. Experimental results are given.
Y G, Jiang, Y R, Xu
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Adaptive deblurring of noisy images

SPIE Proceedings, 2006
We propose a practical sensor deblurring filtering method for images that are contaminated with noise. A sensor blurring function is usually modeled via a Gaussian-like function having a bell shape. The straightforward inverse function results in the magnification of noise at high frequencies.
S Susan, Young, Ronald G, Driggers, Brian P, Teaney, Eddie L, Jacobs   +3 more
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Image deblurring

2014
Recovering a sharp version of an input blurred image is challenging in computational photography and digital image processing. Recent progresses have been made in algorithms to address the ill-posedness of the problem. Yet, the results are imperfect. This thesis presents two approaches that explore latent priors from observations to provide a better ...
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Explicit Ringing Removal in Image Deblurring

IEEE Transactions on Image Processing, 2018
In this paper, we present a simple yet effective image deblurring method to produce ringing-free deblurred images. Our work is inspired by the observation that large-scale deblurring ringing artifacts are measurable through a multi-resolution pyramid of low-pass filtering of the blurred-deblurred image pair. We propose to model such a quantification as
Ali Mosleh, Yasser Elmi Sola, Farzad Zargari, Emmanuel Onzon, J. M. Pierre Langlois   +4 more
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Image deblurring using diffraction gratings

Optics Letters, 1980
A method of deblurring an image is described that uses an achromatic, coherent optical-processing system and either one or two diffraction gratings. One grating, after differentiation, serves as a reference function that is cross correlated with the blurred image.
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Deblurring for enlarged image

2011 IEEE International Conference on Consumer Electronics -Berlin (ICCE-Berlin), 2011
When you use a high resolution display, input images are enlarged in some cases. Many chips designed for digital TVs and displays enlarge input images by linear methods and output blurred images. Therefore a deblurring method for an enlarged image is desired. We propose a new deblurring method for an enlarged image.
Shotaro Moriya, Satoshi Yamanaka, Yoshiki Ono, Koji Minami, Hiroaki Sugiura   +4 more
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Texture-Preserving Image Deblurring

IEEE Signal Processing Letters, 2010
In this letter, a two-step texture-preserving image deblurring method is proposed. This method restores the blurred image in the frequency domain to obtain a noisy result with minimal loss of signal components, followed by a modified non-local means (NLM) filter to attenuate the leaked colored noise.
Fen Chen, Xiaojun Huang, Wufan Chen
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Blind deblurring of spiral CT images

IEEE Transactions on Medical Imaging, 2001
To discriminate fine anatomical features in the inner ear, it has been desirable that spiral computed tomography (CT) may perform beyond their current resolution limits with the aid of digital image processing techniques. In this paper, we develop a blind deblurring approach to enhance image resolution retrospectively without complete knowledge of the ...
Ming, Jiang, Ge, Wang, Margaret W, Skinner, Jay T, Rubinstein, Michael W, Vannier   +4 more
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Class-Specific Image Deblurring

2015 IEEE International Conference on Computer Vision (ICCV), 2015
In image deblurring, a fundamental problem is that the blur kernel suppresses a number of spatial frequencies that are difficult to recover reliably. In this paper, we explore the potential of a class-specific image prior for recovering spatial frequencies attenuated by the blurring process.
Saeed Anwar, Cong Phuoc Huynh, Fatih Porikli   +2 more
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Image Deblurring with Coupled Dictionary Learning

International Journal of Computer Vision, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiang, Shiming, Meng, Gaofeng, Wang, Ying, Pan, Chunhong, Zhang, Changshui   +4 more
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