Skip to main content
padlock icon - secure page this page is secure

The Journal of Imaging Science and Technology (JIST) is dedicated to the advancement of imaging science knowledge, the practical applications of such knowledge, and how imaging science relates to other fields of study. The pages of this journal are open to reports of new theoretical or experimental results, and to comprehensive reviews. Only original manuscripts that have not been previously published, nor currently submitted for publication elsewhere, should be submitted.

IS&T's JIST-first publication option allows authors wishing to present their work at conferences, but have a journal citation for their paper, to submit a paper to JIST that follows the same rigorous peer-review vetting and publication process as traditional JIST articles, but with the benefit of a condensed time-to-publication time frame and guaranteed conference presentation slot.

Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

Publisher: Society for Imaging Science and Technology

More about this publication?
Volume 59, Number 2, March 2015

Editorial

Open Access From the Editor
pp. 20101-1-20101-1(1)
Author: Kuo, Chunghui

Favourites:
ADD

Regular Articles

Free Content Jetting Frequency and Evaporation Effects on the Measurement Accuracy of Inkjet Droplet Amount
pp. 20401-1-20401-10(10)
Authors: Kwon, Kye-Si; Zhang, Dahai; Go, Hyun-Seok

Favourites:
ADD

Laser Exposure of Dry Aqueous Ink for Continuous-Feed High-Speed Inkjet Printing
pp. 20501-1-20501-7(7)
Authors: Sakamoto, Akira; Numata, Manabu; Ogasawara, Yasuhiro; Hatanaka, Mami; Motosugi, Yukari; Morita, Naoki

Favourites:
ADD

Visibility Enhancement of Mobile Device by Adaptive Brightness Adjustment According to App Image Features
pp. 20502-1-20502-9(9)
Authors: Kim, Dae-Chul; Kang, Dong-Wook; Kim, Kyung-Mo; Ha, Yeong-Ho

Favourites:
ADD
Favourites:
ADD

Preferred Racial Skin Color Reproduction in an Image based on Race Classification
pp. 20504-1-20504-9(9)
Authors: Kim, Dae-Chul; Kyung, Wang-Jun; Ha, Yeong-Ho

Favourites:
ADD

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more