チン　ナスン
  陳　那森
   所属   経営学部 経営学科
   職種   教授
言語種別 英語
発行・発表の年月 2001/11
形態種別 学術論文
査読 査読あり
標題 A Data Embedding Method for Palette Images with Little Deterioration in Quality
執筆形態 共著
掲載誌名 Multimedia Technology and Applications Conference 2001
出版社・発行元 Printed in the United States by IKON Document Services
巻・号・頁 60-64頁
著者・共著者 Nasen CHEN, Takeshi OGIHARA,Yukio KANEDA
概要 頁数：5
This paper will show a new method to embed data into palette-based images while they are generated from the original full-color images. Other embedding methods do not modify the palette of the image. We will show that a well-organized palette makes it possible to embed a lot of data into the image with little deterioration in quality. In our method, first, pixels of the original image are divided into n (n < 256) subsets using ordinary color reduction method. Then, m (m = 256 - n) subsets that have more pixels are divided so as to make 256 colors. As the results of experiments, the quality of images made by our method is not inferior to that made by ordinary color reduction without embedding.