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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

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Volume 62, Number 2, March 2018

Editorial

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

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Regular Articles

Focusness Extraction from Images for Automatic Camera Control by Measuring Objectness
pp. 20501-1-20501-12(12)
Authors: Tanaka, Satomi; Kiyomitsu, Kaori; Maki, Masanori; Kakinuma, Akihiro; Kamijo, Naohiro; Takahashi, Hiroshi; Tsumura, Norimichi

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Derivation and Experimental Verification of a Simple Model for Color Images
pp. 20503-1-20503-11(11)
Authors: Fuller, Megan; Lim, Jae S.

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Spectral Adaptation Transform for Multispectral Constancy
pp. 20504-1-20504-12(12)
Authors: Khan, Haris Ahmad; Thomas, Jean-Baptiste; Hardeberg, Jon Yngve; Laligant, Olivier

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Remote Sensing Image Quality Assessment based on the Ratio of Spatial Feature Weighted Mutual Information
pp. 20505-1-20505-12(12)
Authors: Yan, Junhua; Wang, Jingcheng; Zhang, Yin; Bai, Xuehan; Xiao, Yongqi

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An Analysis of the Binocular Depth Perception with 3D Depth Parameters and Perceptual Characteristics of Viewers
pp. 20506-1-20506-8(8)
Authors: Maeng, Se-Ho; Cho, Sang-Hyun; Nam, Jong-Ho; Kang, Hang-Bong

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