Adaptive self-similarity based image super-resolution using non local means

Ji Hoon Choi; Sae Jin Park; Dae Yeol Lee; Sung Chang Lim; Jin Soo Choi; Jong Ok Kim

doi:10.1109/APSIPA.2014.7041605

Adaptive self-similarity based image super-resolution using non local means

Ji Hoon Choi, Sae Jin Park, Dae Yeol Lee, Sung Chang Lim, Jin Soo Choi, Jong Ok Kim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Self-similarity based SR method on the LF-HF domain basically relies on the assumption that LF patch is highly correlated with HF patch. However, this assumption is content-specific significantly, and we can occasionally observe little correlation between LF and HF patch especially for texture region of natural images. In this paper we propose a new self-similarity based SR method to reflect this observation. There are two differences between the proposed and existing methods. First, HF details of target HR image are recovered by finding the similar patches on the MF domain in case of texture region. Second, the proposed method performs pixel-based reconstruction by adopting the concept of non-local means. Experimental results show that the proposed method can reconstruct more realistic image details.

Original language	English
Title of host publication	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9786163618238
DOIs	https://doi.org/10.1109/APSIPA.2014.7041605
Publication status	Published - 2014 Feb 12
Event	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 - Chiang Mai, Thailand Duration: 2014 Dec 9 → 2014 Dec 12

Publication series

Name	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014

Other

Other	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
Country/Territory	Thailand
City	Chiang Mai
Period	14/12/9 → 14/12/12

Bibliographical note

Publisher Copyright:
© 2014 Asia-Pacific Signal and Information Processing Ass.

ASJC Scopus subject areas

Signal Processing
Information Systems

Access to Document

10.1109/APSIPA.2014.7041605

Cite this

Choi, J. H., Park, S. J., Lee, D. Y., Lim, S. C., Choi, J. S., & Kim, J. O. (2014). Adaptive self-similarity based image super-resolution using non local means. In 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 Article 7041605 (2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSIPA.2014.7041605

Adaptive self-similarity based image super-resolution using non local means. / Choi, Ji Hoon; Park, Sae Jin; Lee, Dae Yeol et al.
2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 7041605 (2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Choi, JH, Park, SJ, Lee, DY, Lim, SC, Choi, JS & Kim, JO 2014, Adaptive self-similarity based image super-resolution using non local means. in 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014., 7041605, 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014, Institute of Electrical and Electronics Engineers Inc., 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014, Chiang Mai, Thailand, 14/12/9. https://doi.org/10.1109/APSIPA.2014.7041605

Choi JH, Park SJ, Lee DY, Lim SC, Choi JS, Kim JO. Adaptive self-similarity based image super-resolution using non local means. In 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014. Institute of Electrical and Electronics Engineers Inc. 2014. 7041605. (2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014). doi: 10.1109/APSIPA.2014.7041605

Choi, Ji Hoon ; Park, Sae Jin ; Lee, Dae Yeol et al. / Adaptive self-similarity based image super-resolution using non local means. 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014. Institute of Electrical and Electronics Engineers Inc., 2014. (2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014).

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abstract = "Self-similarity based SR method on the LF-HF domain basically relies on the assumption that LF patch is highly correlated with HF patch. However, this assumption is content-specific significantly, and we can occasionally observe little correlation between LF and HF patch especially for texture region of natural images. In this paper we propose a new self-similarity based SR method to reflect this observation. There are two differences between the proposed and existing methods. First, HF details of target HR image are recovered by finding the similar patches on the MF domain in case of texture region. Second, the proposed method performs pixel-based reconstruction by adopting the concept of non-local means. Experimental results show that the proposed method can reconstruct more realistic image details.",

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AB - Self-similarity based SR method on the LF-HF domain basically relies on the assumption that LF patch is highly correlated with HF patch. However, this assumption is content-specific significantly, and we can occasionally observe little correlation between LF and HF patch especially for texture region of natural images. In this paper we propose a new self-similarity based SR method to reflect this observation. There are two differences between the proposed and existing methods. First, HF details of target HR image are recovered by finding the similar patches on the MF domain in case of texture region. Second, the proposed method performs pixel-based reconstruction by adopting the concept of non-local means. Experimental results show that the proposed method can reconstruct more realistic image details.

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Adaptive self-similarity based image super-resolution using non local means

Abstract

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ASJC Scopus subject areas

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