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
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