A novel image interpolation method using the bilateral filter

Jong Woo Han; Jun Hyung Kim; Sung Hyun Cheon; Jong Ok Kim; Sung Jea Ko

doi:10.1109/TCE.2010.5439142

A novel image interpolation method using the bilateral filter

Jong Woo Han, Jun Hyung Kim, Sung Hyun Cheon, Jong Ok Kim, Sung Jea Ko

Research output: Contribution to journal › Article › peer-review

69 Citations (Scopus)

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
Article number	5439142
Pages (from-to)	175-181
Number of pages	7
Journal	IEEE Transactions on Consumer Electronics
Volume	56
Issue number	1
DOIs	https://doi.org/10.1109/TCE.2010.5439142
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

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10.1109/TCE.2010.5439142

Cite this

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title = "A novel image interpolation method using the bilateral filter",

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.",

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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).",

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N1 - 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).

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N2 - 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.

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A novel image interpolation method using the bilateral filter

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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