Browse > Article
http://dx.doi.org/10.5573/ieie.2015.52.4.145

Effective Noise Reduction using STFT-based Content Analysis  

Baek, Seungin (Department of Image Engineering, Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University)
Jeong, Soowoong (Department of Image Engineering, Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University)
Choi, Jong-Soo (Department of Image Engineering, Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University)
Lee, Sangkeun (Department of Image Engineering, Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.52, no.4, 2015 , pp. 145-155 More about this Journal
Abstract
Noise reduction has been actively studied in the digital image processing and recently, block-based denoising algorithms are widely used. In particular, a low rank approximation employing WNNM(Weighted Nuclear Norm Minimization) and block-based approaches demonstrated the potential for effective noise reduction. However, the algorithm based on low rank a approximation generates the artifacts in the image restoration step. In this paper, we analyzes the image content using the STFT(Short Time Fourier Transform) and proposes an effective method of minimizing the artifacts generated from the conventional algorithm. To evaluate the performance of the proposed scheme, we use the test images containing a wide range of noise levels and compare the results with the state-of-art algorithms.
Keywords
Image Restoration; Denoising; Noise Reduction; Gaussian noise;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 R. C. Gonzalez and R. E. Woods, Digital Image Processing Third Edition, Pearson Prentice-Hall, 2008.
2 Sung-Un Kim, "An Image Denoising Algorithm for the Mobile Phone Cameras," The Journal of the Korea Institute of Electronic Communication Sciences, vol. 9, no. 5, pp. 601-607, May 2014.   DOI   ScienceOn
3 C. Tomasi and R. Manduchi, "Bilateral filtering for gray and color images," in Proceedings of IEEE International Conference on Computer Vision, pp. 839-846, Bombay, India, Jan. 1998.
4 A. Buades, B. Coll, and J.M. Morel "A non-local algorithm for image denoising," in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 60-65, San Diego, CA, USA, June 2005.
5 Sang Wook Park and Moon Gi Kang, "Improved Nonlocal Means Algorithm for Image Denoising," Journal of the Institute of Electronics Engineers of Korea, vol. 48. no. 1, pp. 46-53, Jan. 2011.
6 Sang Wook Park and Moon Gi Kang, "Spatio-temporal Denoising Algorithm base on Nonlocal Means," Journal of the Institute of Electronics Engineers of Korea, vol. 48, no. 2, pp. 24-31, Mar. 2011.
7 A. Foi, V. Katkovnik, and K. Egiazarian, "Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images," IEEE Transactions on Image Processing, vol. 16, no. 5, pp. 1395-1411, May 2007.   DOI   ScienceOn
8 K. Dabov, A. Foi, V. Katkovnik, and K.Egiazarian, "Image denoising by sparse 3d transform domain collaborative filtering," IEEE Transactions on Image Processing, vol. 16, no. 8, pp. 2080-2095, Aug. 2007.   DOI   ScienceOn
9 Claude Knaus and Matthias Zwicker, "DUAL-DOMAIN IMAGE DENOISING," in Proceedings of the International Conference on Image Processing, pp. 440-444, Melbourne, VIC, Australia, Sep. 2013.
10 Claude Knaus and Matthias Zwicker, "Progressive Image Denoising," IEEE Transactions on Image Processing, vol. 23, no. 7, pp. 3114-3125, July 2014.   DOI   ScienceOn
11 M. Elad and M. Aharon, "Image denoising via sparse and redundant representations over learned dictionaries," IEEE Transactions on Image Processing, vol. 15, no. 12, pp. 3736-3745, Dec. 2006.   DOI   ScienceOn
12 S. Gu, L. Zhang, W. Zuo, and X. Feng, "Weighted Nuclear Norm Minimization with Application to Image Denoising," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 2862-2869, Columbus, OH, USA, June 2014.
13 J. Cai, E. Candes, and Z. Shen, "A singular value thresholding algorithm for matrix completion," SIAM Journal on Optimization, vol. 20, no. 4, pp. 1956-1982, Jan. 2010.   DOI   ScienceOn
14 J. B. Allen, "Short term spectral analysis, synthesis, and modification by discrete fourier transform," in Proceedings of IEEE Conference on Acoustics, Speech and Signal Processing, vol. 25, no. 3, pp. 235-238, Jun. 1977.