H
Hideaki Haneishi
Researcher at Chiba University
Publications - 241
Citations - 2903
Hideaki Haneishi is an academic researcher from Chiba University. The author has contributed to research in topics: Iterative reconstruction & Color image. The author has an hindex of 27, co-authored 230 publications receiving 2647 citations. Previous affiliations of Hideaki Haneishi include Tokyo Institute of Technology & National Institute of Information and Communications Technology.
Papers
More filters
Journal ArticleDOI
Independent-component analysis of skin color image
TL;DR: In this article, the spatial distributions of melanin and hemoglobin in human skin are separated by independent-component analysis of a skin color image, and the separated components are synthesized to simulate the various facial color images by changing the quantities of the two separated pigments.
Journal ArticleDOI
System design for accurately estimating the spectral reflectance of art paintings
Hideaki Haneishi,Takayuki Hasegawa,Asako Hosoi,Yasuaki Yokoyama,Norimichi Tsumura,Yoichi Miyake +5 more
TL;DR: A system that incorporates both spectral characteristics and estimation software to estimate spectral reflectance of art paintings from low-dimensional multichannel images is designed and developed on the basis of the minimum-mean-square error criterion.
Journal ArticleDOI
Development of a small prototype for a proof-of-concept of OpenPET imaging.
Taiga Yamaya,Eiji Yoshida,Taku Inaniwa,Shinji Sato,Yasunori Nakajima,Hidekatsu Wakizaka,Daisuke Kokuryo,Atsushi B. Tsuji,Takayuki Mitsuhashi,Takayuki Mitsuhashi,H. Kawai,Hideaki Tashima,Fumihiko Nishikido,Naoko Inadama,Hideo Murayama,Hideaki Haneishi,Mikio Suga,Shoko Kinouchi,Shoko Kinouchi +18 more
TL;DR: The first small prototype to show a proof-of-concept of OpenPET imaging was developed and it was confirmed that the tumor in the gap was clearly visualized.
Journal ArticleDOI
A new method for distortion correction of electronic endoscope images
TL;DR: A new method to correct the barrel distortion of an electronic endoscope image with a correction model assuming circularly symmetric distortion with the advantage of not needing a careful placement of the standard pattern for calibration.
Journal ArticleDOI
Beyond Red-Green-Blue (RGB) : Spectrum-Based Color Imaging Technology
TL;DR: In this paper, the authors present a comprehensive study on the spectrum-based color reproduction system, called Natural Vision (NV), which aims to break through the limitation of red-green-blue (RGB) three-primary schemes.