Super-Resolution Image Reconstruction Using Wavelet Based Patch and Discrete Wavelet Transform
- Title
- Super-Resolution Image Reconstruction Using Wavelet Based Patch and Discrete Wavelet Transform
- Author
- 문영식
- Keywords
- Super-resolution; Patch-based; Discrete wavelet transform; Local binary pattern; LOCAL BINARY PATTERNS; SUPER RESOLUTION; TEXTURE CLASSIFICATION; INTERPOLATION
- Issue Date
- 2015-10
- Publisher
- SPRINGER
- Citation
- JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, v. 81, No. 1, Page. 71-81
- Abstract
- This paper proposes a novel method that combines the discrete wavelet transform (DWT) and example-based technique to reconstruct a high-resolution from a low-resolution image. Although previous interpolation- and example-based methods consider the reconstruction adaptive to edge directions, they still have a problem with aliasing and blurring effects around edges. In order to address these problems, in this paper, we utilize the frequency sub-bands of the DWT that has the feature of lossless compression. Our proposed method first extracts the frequency sub-bands (Low-Low, Low-High, High-Low, High-High) from an input low-resolution image by the DWT, and then the low-resolution image is inserted into the Low-Low sub-band. Since information in high-frequency sub-bands (Low-High, High-Low, and High-High) might be lost in the low-resolution image, they are reconstructed or estimated by using example-based method from image patch database. After that, we make a high-resolution image by performing the inverse DWT of reconstructed frequency sub-bands. In experimental results, we can show that the proposed method outperforms previous approaches in terms of edge enhancement, reduced aliasing effects, and reduced blurring effects. © 2014, Springer Science+Business Media New York.
- URI
- https://link.springer.com/article/10.1007/s11265-014-0903-2http://hdl.handle.net/20.500.11754/40543
- ISSN
- 1939-8018; 1939-8115
- DOI
- 10.1007/s11265-014-0903-2
- Appears in Collections:
- COLLEGE OF COMPUTING[E](소프트웨어융합대학) > COMPUTER SCIENCE(소프트웨어학부) > Articles
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