ホサカ タダアキ
HOSAKA TADAAKI
保坂 忠明 所属 明治大学 理工学部 職種 専任准教授 |
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言語種別 | 英語 |
発行・発表の年月 | 2011/02 |
形態種別 | 学術雑誌 |
査読 | 査読あり |
標題 | Image Quality Enhancement for Single-Image Super Resolution Based on Local Similarities and Support Vector Regression |
執筆形態 | 共著(筆頭者以外) |
掲載誌名 | IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES |
掲載区分 | 国外 |
出版社・発行元 | IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG |
巻・号・頁 | E94A(2),pp.552-554 |
著者・共著者 | Atsushi Yaguchi,Tadaaki Hosaka,Takayuki Hamamoto |
概要 | In reconstruction-based super resolution, a high-resolution image is estimated using multiple low-resolution images with sub-pixel misalignments. Therefore, when only one low-resolution image is available, it is generally difficult to obtain a favorable image. This letter proposes a method for overcoming this difficulty for single- image super resolution. In our method, after interpolating pixel values at sub-pixel locations on a patch-by-patch basis by support vector regression, in which learning samples are collected within the given image based on local similarities, we solve the regularized reconstruction problem with a sufficient number of constraints. Evaluation experiments were performed for artificial and natural images, and the obtained high-resolution images indicate the high-frequency components favorably along with improved PSNRs. |
DOI | 10.1587/transfun.E94.A.552 |
ISSN | 0916-8508/1745-1337 |