An effective aggregation function for image denoising based on low rank matrix completion

Dongni Zhang, Sung Ho Lee, Hoon Kim, Jong Woo Han, Sung-Jea Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, an aggregation function is proposed to improve the performance of the conventional denoising method based on low rank matrix completion. Since this method determines the denoised value of each pixel by averaging the corresponding pixels in the denoised image patches, the performance can be improved by a reasonable aggregation function. The proposed aggregation function exploits the intensity similarity and geometry closeness of the denoised patches, to reduce the unwanted artifacts in the synthesized denoised image. Experimental results show that the proposed method achieves substantial PSNR improvement as compared with the conventional denoising algorithm.

Original languageEnglish
Title of host publicationProceedings - 2011 4th International Symposium on Knowledge Acquisition and Modeling, KAM 2011
Pages219-221
Number of pages3
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 4th International Symposium on Knowledge Acquisition and Modeling, KAM 2011 - Sanya, China
Duration: 2011 Oct 82011 Oct 9

Other

Other2011 4th International Symposium on Knowledge Acquisition and Modeling, KAM 2011
CountryChina
CitySanya
Period11/10/811/10/9

Fingerprint

Matrix Completion
Low-rank Matrices
Aggregation Function
Image denoising
Image Denoising
Agglomeration
Denoising
Patch
Pixel
Pixels
Averaging
Geometry
Experimental Results

Keywords

  • Aggregation function
  • low rank matrix completion
  • patch-based image denoising

ASJC Scopus subject areas

  • Computer Science Applications
  • Modelling and Simulation

Cite this

Zhang, D., Lee, S. H., Kim, H., Han, J. W., & Ko, S-J. (2011). An effective aggregation function for image denoising based on low rank matrix completion. In Proceedings - 2011 4th International Symposium on Knowledge Acquisition and Modeling, KAM 2011 (pp. 219-221). [6137619] https://doi.org/10.1109/KAM.2011.65

An effective aggregation function for image denoising based on low rank matrix completion. / Zhang, Dongni; Lee, Sung Ho; Kim, Hoon; Han, Jong Woo; Ko, Sung-Jea.

Proceedings - 2011 4th International Symposium on Knowledge Acquisition and Modeling, KAM 2011. 2011. p. 219-221 6137619.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhang, D, Lee, SH, Kim, H, Han, JW & Ko, S-J 2011, An effective aggregation function for image denoising based on low rank matrix completion. in Proceedings - 2011 4th International Symposium on Knowledge Acquisition and Modeling, KAM 2011., 6137619, pp. 219-221, 2011 4th International Symposium on Knowledge Acquisition and Modeling, KAM 2011, Sanya, China, 11/10/8. https://doi.org/10.1109/KAM.2011.65
Zhang D, Lee SH, Kim H, Han JW, Ko S-J. An effective aggregation function for image denoising based on low rank matrix completion. In Proceedings - 2011 4th International Symposium on Knowledge Acquisition and Modeling, KAM 2011. 2011. p. 219-221. 6137619 https://doi.org/10.1109/KAM.2011.65
Zhang, Dongni ; Lee, Sung Ho ; Kim, Hoon ; Han, Jong Woo ; Ko, Sung-Jea. / An effective aggregation function for image denoising based on low rank matrix completion. Proceedings - 2011 4th International Symposium on Knowledge Acquisition and Modeling, KAM 2011. 2011. pp. 219-221
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