Neighbor embedding based single image super-resolution using hybrid feature and adaptive weight decay regularization

Yonggun Lee; Yoonsik Choe

doi:10.1109/ICCE-Berlin.2014.7034223

Neighbor embedding based single image super-resolution using hybrid feature and adaptive weight decay regularization

Yonggun Lee, Yoonsik Choe

Department of Electrical and Electronic Engineering

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

1 Citation (Scopus)

Abstract

In this paper, a novel single image super-resolution technique based on neighbor embedding is proposed. Conventional neighbor embedding technique uses gradient feature vector in neighbor selection. However, since gradient feature is high-frequency feature, it is not appropriate for feature representation in weak-edge and texture regions. Therefore, instead of using only gradient feature as in neighbor embedding, hybrid feature which combines gradient feature for edge region and luminance norm feature for non-edge region is used. Also, adaptive weight decay regularization is applied to shrink unstable weights for neighbors. Consequently, experimental result shows that the proposed method can reconstruct more details in weak-edges, textures, and strong-edges as well as conventional method.

Original language	English
Title of host publication	Proceedings 2014 IEEE 4th International Conference on Consumer Electronics - Berlin, ICCE-Berlin
Editors	Francisco J. Bellido, Dietmar Hepper, Hans L. Cycon, Alexander Huhn
Publisher	IEEE Computer Society
Pages	185-187
Number of pages	3
Edition	February
ISBN (Electronic)	9781479961658
DOIs	https://doi.org/10.1109/ICCE-Berlin.2014.7034223
Publication status	Published - 2015 Feb 5
Event	2014 4th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin - Berlin, Germany Duration: 2014 Sept 7 → 2014 Sept 10

Publication series

Name	IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
Number	February
Volume	2015-February
ISSN (Print)	2166-6814
ISSN (Electronic)	2166-6822

Conference

Conference	2014 4th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
Country/Territory	Germany
City	Berlin
Period	14/9/7 → 14/9/10

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Industrial and Manufacturing Engineering
Media Technology

Access to Document

10.1109/ICCE-Berlin.2014.7034223

Cite this

Lee, Y., & Choe, Y. (2015). Neighbor embedding based single image super-resolution using hybrid feature and adaptive weight decay regularization. In F. J. Bellido, D. Hepper, H. L. Cycon, & A. Huhn (Eds.), Proceedings 2014 IEEE 4th International Conference on Consumer Electronics - Berlin, ICCE-Berlin (February ed., pp. 185-187). [7034223] (IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin; Vol. 2015-February, No. February). IEEE Computer Society. https://doi.org/10.1109/ICCE-Berlin.2014.7034223

Lee, Yonggun ; Choe, Yoonsik. / Neighbor embedding based single image super-resolution using hybrid feature and adaptive weight decay regularization. Proceedings 2014 IEEE 4th International Conference on Consumer Electronics - Berlin, ICCE-Berlin. editor / Francisco J. Bellido ; Dietmar Hepper ; Hans L. Cycon ; Alexander Huhn. February. ed. IEEE Computer Society, 2015. pp. 185-187 (IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin; February).

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title = "Neighbor embedding based single image super-resolution using hybrid feature and adaptive weight decay regularization",

abstract = "In this paper, a novel single image super-resolution technique based on neighbor embedding is proposed. Conventional neighbor embedding technique uses gradient feature vector in neighbor selection. However, since gradient feature is high-frequency feature, it is not appropriate for feature representation in weak-edge and texture regions. Therefore, instead of using only gradient feature as in neighbor embedding, hybrid feature which combines gradient feature for edge region and luminance norm feature for non-edge region is used. Also, adaptive weight decay regularization is applied to shrink unstable weights for neighbors. Consequently, experimental result shows that the proposed method can reconstruct more details in weak-edges, textures, and strong-edges as well as conventional method.",

author = "Yonggun Lee and Yoonsik Choe",

year = "2015",

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doi = "10.1109/ICCE-Berlin.2014.7034223",

language = "English",

series = "IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin",

publisher = "IEEE Computer Society",

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pages = "185--187",

editor = "Bellido, {Francisco J.} and Dietmar Hepper and Cycon, {Hans L.} and Alexander Huhn",

booktitle = "Proceedings 2014 IEEE 4th International Conference on Consumer Electronics - Berlin, ICCE-Berlin",

address = "United States",

edition = "February",

note = "2014 4th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin ; Conference date: 07-09-2014 Through 10-09-2014",

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Lee, Y & Choe, Y 2015, Neighbor embedding based single image super-resolution using hybrid feature and adaptive weight decay regularization. in FJ Bellido, D Hepper, HL Cycon & A Huhn (eds), Proceedings 2014 IEEE 4th International Conference on Consumer Electronics - Berlin, ICCE-Berlin. February edn, 7034223, IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin, no. February, vol. 2015-February, IEEE Computer Society, pp. 185-187, 2014 4th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin, Berlin, Germany, 14/9/7. https://doi.org/10.1109/ICCE-Berlin.2014.7034223

Neighbor embedding based single image super-resolution using hybrid feature and adaptive weight decay regularization. / Lee, Yonggun; Choe, Yoonsik.

Proceedings 2014 IEEE 4th International Conference on Consumer Electronics - Berlin, ICCE-Berlin. ed. / Francisco J. Bellido; Dietmar Hepper; Hans L. Cycon; Alexander Huhn. February. ed. IEEE Computer Society, 2015. p. 185-187 7034223 (IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin; Vol. 2015-February, No. February).

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

TY - GEN

T1 - Neighbor embedding based single image super-resolution using hybrid feature and adaptive weight decay regularization

AU - Lee, Yonggun

AU - Choe, Yoonsik

PY - 2015/2/5

Y1 - 2015/2/5

N2 - In this paper, a novel single image super-resolution technique based on neighbor embedding is proposed. Conventional neighbor embedding technique uses gradient feature vector in neighbor selection. However, since gradient feature is high-frequency feature, it is not appropriate for feature representation in weak-edge and texture regions. Therefore, instead of using only gradient feature as in neighbor embedding, hybrid feature which combines gradient feature for edge region and luminance norm feature for non-edge region is used. Also, adaptive weight decay regularization is applied to shrink unstable weights for neighbors. Consequently, experimental result shows that the proposed method can reconstruct more details in weak-edges, textures, and strong-edges as well as conventional method.

AB - In this paper, a novel single image super-resolution technique based on neighbor embedding is proposed. Conventional neighbor embedding technique uses gradient feature vector in neighbor selection. However, since gradient feature is high-frequency feature, it is not appropriate for feature representation in weak-edge and texture regions. Therefore, instead of using only gradient feature as in neighbor embedding, hybrid feature which combines gradient feature for edge region and luminance norm feature for non-edge region is used. Also, adaptive weight decay regularization is applied to shrink unstable weights for neighbors. Consequently, experimental result shows that the proposed method can reconstruct more details in weak-edges, textures, and strong-edges as well as conventional method.

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M3 - Conference contribution

T3 - IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin

SP - 185

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BT - Proceedings 2014 IEEE 4th International Conference on Consumer Electronics - Berlin, ICCE-Berlin

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Lee Y, Choe Y. Neighbor embedding based single image super-resolution using hybrid feature and adaptive weight decay regularization. In Bellido FJ, Hepper D, Cycon HL, Huhn A, editors, Proceedings 2014 IEEE 4th International Conference on Consumer Electronics - Berlin, ICCE-Berlin. February ed. IEEE Computer Society. 2015. p. 185-187. 7034223. (IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin; February). doi: 10.1109/ICCE-Berlin.2014.7034223

Neighbor embedding based single image super-resolution using hybrid feature and adaptive weight decay regularization

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