Abstract
In general, since the noise deteriorates the interpolation performance in digital images, it is effective to employ denoising prior to the interpolation. In this paper, we propose a novel interpolation framework in which denoising and image sharpening methods are embedded. In the proposed framework, the image is first decomposed using the bilateral filter into the detail and base layers which represent the small and large scale features, respectively. The detail layer is adaptively smoothed to suppress the noise before interpolation and an edge-preserving interpolation method is applied to both layers. Finally, the high resolution image is obtained by combining the base and detail layers. Experimental results show that the proposed algorithm outperforms the conventional methods while suppressing blurring and jagging1.
Original language | English |
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Article number | 5439142 |
Pages (from-to) | 175-181 |
Number of pages | 7 |
Journal | IEEE Transactions on Consumer Electronics |
Volume | 56 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2010 Feb |
Bibliographical note
Funding Information:1This research was supported by the LG Display Co. LTD, Seoul Future Contents Convergence (SFCC) Cluster established by Seoul R&BD Program (No. 10570), and the Korea Science and Engineering Foundation (KOSEF) grant funded by the Korea government (MEST) (No. 2009-0080547).
Keywords
- Bilateral filter
- Denoising
- Image interpolation
- Unsharp masking
ASJC Scopus subject areas
- Media Technology
- Electrical and Electronic Engineering