Fourier Transform with Noisy Image
DOI:
https://doi.org/10.29304/jqcm.2022.14.4.1147Keywords:
Image processing, noise image, Fourier transform, PSNR (Peak Signal to Noise Ratio), MSE (Mean Squared Error), SSIM (Structural Similarity Index, (SSIM) for measuring image quality)Abstract
The noise is a major problem in computer vision because it affects image quality and impede the illation. In this paper, we suggest method works on instantaneous transformations that are used in the analysis of the signals representing the image and the frequencies they contain, through which the image can be retrieved or the areas containing the noise where the image is transformed within the complex range and then the original image. Result of this paper are 0.9804 in case SSIM measure and 32.9850 in case PSNR measure.
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References
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[2] N. e. a. Liu, "A code-level approach to heterogeneous iris recognition.," IEEE Transactions on Information Forensics and Security,, vol. 12(10), pp. 2373-2386., 2017. .
[3] Z. e. a. Xu, "Image restoration for large-motion blurred lunar remote sensing image.," in the Chinese Society for Optical Engineering Conferences , October and November 2016. 2017.
[4] S. C. J. a. A. C. Yadav, "Evaluation of image deblurring techniques.," International Journal of Computer Applications, vol. 139(12), pp. 32-36., 2016.
[5] A. e. a. Levin, "Understanding and evaluating blind deconvolution algorithms.," in IEEE Conference on Computer Vision and Pattern Recognition. , 2009.
[6] J. M. F. a. J. O. Bioucas-Dias, "Total variation-based image deconvolution: a majorization-minimization approach," in IEEE International Conference on Acoustics Speech and Signal Processing Proceedings., 2006.
[7] S. a. M. B. Roth, "Fields of experts: A framework for learning image priors," in IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005.
[8] A. e. a. Levin, "Image and depth from a conventional camera with a coded aperture.," ACM transactions on graphics (TOG), vol. 26(3), pp. 70-es, 2007.
[9] R. e. a. Fergus, "Removing camera shake from a single photograph," ACM SIGGRAPH 2006 Papers, pp. 787-794., 2006.
[10] R. a. L. S. Yan, "Blind image blur estimation via deep learning.," IEEE Transactions on Image Processing, vol. 25(4), pp. 1910-1921., 2016.
[11] C. e. a. Schuler, "Learning to deblur," IEEE transactions on pattern analysis and machine intelligence, vol. 38(7), pp. 1439-1451, 2015.
[12] D. e. a. Sun, " Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume," in in Proceedings of the IEEE conference on computer vision and pattern recognition. , 2018.
[13] T. a. K. M. L. Hyun Kim, " Generalized video deblurring for dynamic scenes," in in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. , 2015.
[14] A. E. a. H. B. B.M., Tables of integral transforms, McGraw-Hill.: based in part on notes left by Harry Bateman and compiled by the staff of the Bateman manuscript project. , 1954.
[15] R. a. R. B. Bracewell, The Fourier transform and its applications, Vol. 31999. New York.: McGraw-hill, 1986.
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Published
2023-02-22
How to Cite
Muthana, R., & Mohammed, N. A. (2023). Fourier Transform with Noisy Image. Journal of Al-Qadisiyah for Computer Science and Mathematics, 14(4), Comp Page 104–110. https://doi.org/10.29304/jqcm.2022.14.4.1147
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Section
Computer Articles
