Document Type
Conference Paper
Publication Date
2009
DOI
10.1117/12.812202
Publication Title
Medical Imaging 2009: Image Processing, Proceedings of SPIE Vol. 7259
Volume
7259
Pages
725925 (1-12)
Conference Name
Medical Imaging 2009: Image Processing, February 7-12, 2009, Lake Buena Vista, Florida
Abstract
Clinical MRI images are generally corrupted by random noise during acquisition with blurred subtle structure features. Many denoising methods have been proposed to remove noise from corrupted images at the expense of distorted structure features. Therefore, there is always compromise between removing noise and preserving structure information for denoising methods. For a specific denoising method, it is crucial to tune it so that the best tradeoff can be obtained. In this paper, we define several cost functions to assess the quality of noise removal and that of structure information preserved in the denoised image. Strength Pareto Evolutionary Algorithm 2 (SPEA2) is utilized to simultaneously optimize the cost functions by modifying parameters associated with the denoising methods. The effectiveness of the algorithm is demonstrated by applying the proposed optimization procedure to enhance the image denoising results using block matching and 3D collaborative filtering. Experimental results show that the proposed optimization algorithm can significantly improve the performance of image denoising methods in terms of noise removal and structure information preservation.
Rights
Copyright 2009 Society of Photo‑Optical Instrumentation Engineers (SPIE).
One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.
Original Publication Citation
Pedada, R., Kugu, E., Li, J., Yue, Z., & Shen, Y. (2009). Parameter optimization for image denoising based on block matching and 3D collaborative filtering. In J.P.W. Pluim & B.M. Dawant (Eds.), Medical Imaging 2009: Image Processing, Proceedings of SPIE Vol. 7259 (725925). SPIE of Bellingham, WA. https://doi.org/10.1117/12.812202
Repository Citation
Pedada, Ramu; Kugu, Emin; Li, Jiang; Yue, Zhanfeng; Shen, Yuzhong; Pluim, Josien P.W. (Ed.); and Dawant, Benoit M. (Ed.), "Parameter Optimization for Image Denoising Based on Block Matching and 3D Collaborative Filtering" (2009). Electrical & Computer Engineering Faculty Publications. 388.
https://digitalcommons.odu.edu/ece_fac_pubs/388
ORCID
0000-0001-7829-8087 (Kugu), 0000-0003-0091-6986 (Li)
Included in
Bioimaging and Biomedical Optics Commons, Biomedical Commons, Equipment and Supplies Commons, Theory and Algorithms Commons