Results 271 to 280 of about 2,119,252 (298)

Adaptive iterative algorithm for image restoration

Image and Vision Computing, 1988
Abstract The paper proposes a modified observed image model which takes local statistical information into account. Using this model and local statistical measurements, a two-dimensional iterative image restoration algorithm is developed. Experimental results show that the visual qualities of the processed image are improved considerably over those ...
Zhi-Qiang Liu, V. G. Gourishankar, Terry Caelli   +2 more
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Multiframe image restoration with the 2D4 algorithm

SPIE Proceedings, 2005
We describe a new algorithm for combining multiple low-resolution images to obtain a high-resolution object estimate. Each camera is treated as a communication channel and we exploit sub-pixel shifts to achieve significant resolution enhancement. The 2D4 algorithm is an iterative likelihood-based method that is computationally less expensive than the ...
Premchandra Shankar, Mark A. Neifeld
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A VQ-based image restoration algorithm

Proceedings. International Conference on Image Processing, 2003
In this paper, we develop a novel VQ-based image restoration algorithm. The mapping between high frequency information in the original images and low frequency information in the corresponding degraded ones is established and stored in the VQ codebooks. Prototype images are used, which belong to the same class of images.
Ryo Nakagaki, Aggelos K. Katsaggelos
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Adaptive Algorithm For Discontinuity Preserving Image Restoration

1993 IEEE International Symposium on Circuits and Systems, 2002
Conventional adaptive algorithms for image restoration tend to blur the image by smoothing over discontinuities. To overcome this, a discontinuity preserving adaptive algorithm (DPAA) for image restoration is developed. The basic idea is to combine the continuous line field model with the usual linear finite impulse response (FIR) model used for image ...
K. Sunil Kumar, Uday B. Desai
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Image restoration by the shift-and-add algorithm

Optics Letters, 1985
A new method for image restoration based on the shift-and-add (SAA) algorithm is presented, the main advantages of which appear to be speed and simplicity. The SAA pattern produced by an object is given by the object correlated by a nonlinear replica of itself whose intensity distribution is strongly weighted toward the brighter pixels.
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Modified algorithm for defocused image restoration

Journal of the Optical Society of America A
This study develops a modified inverse filter algorithm that corrects defocus aberrations through optimization of the Zernike defocus coefficient. By strategically adjusting the Zernike-based point-spread function (PSF), our method achieves precise compensation for small defocus in optical systems.
Jia-Wei, Meng, Ying, Lou, Zhiyuan, Qian, Yang, Wu, Ke, Sun, Yimin, Yang, Shuwei, Zhang, Yunfeng, Zhao, Lu, Zhang   +8 more
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An Alternating Minimization Algorithm for Binary Image Restoration

IEEE Transactions on Image Processing, 2012
The problem we will consider in this paper is binary image restoration. It is, in essence, difficult to solve because of the combinatorial nature of the problem. To overcome this difficulty, we propose a new minimization model by making use of a new variable to enforce the image to be binary.
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Image Restoration Using Genetic Algorithms

Programming and Computer Software, 2022
Andrey O. Trubakov, Nikita V. Medvedkov
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Parallel updating algorithm for image restoration

1995
P. Blaznik, B. Glaser, J. Tasic
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ALGORITHMS FOR HIDING AND RESTORING IMAGES

Modern Technologies in Science and Education. MTSE-2025
The paper considers algorithms for hiding images. The basic principles of their operation are described. Methods for image restoration are given, and the essence of their work is revealed. Their advantages and disadvantages are described. In the first case, images are hidden by blurring using the blur function with a certain core size, then the image ...
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