Skip to main content

How We Look at Photographs as Indicated by Contrast Discrimination Performance Versus Contrast Preference

Buy Article:

$17.00 plus tax (Refund Policy)

Considering luminance contrast to comprise the building blocks of the photographic language, we aimed to study the connection between viewer's contrast discrimination performance in black-and-white photographs with various contrast reproductions, and their aesthetic appeal. In a previous study we examined the viewer's ability to discriminate contrast increments, applied to discrete regions of the characteristic curves of gray scales versus photographs of Ansel Adams. The photographs belonged to three conceptual categories: portrait, landscape, and architecture. Whereas, contrast discrimination performance in gray scales was very poor in reproductions with altered contrast in the shadows, a significant improvement in performance was observed in the photographs. In the present study subjects performed a contrast preference evaluation task, in which, the reproductions of the photographs were rated for their aesthetic appeal on a five-point scale. The photographs were presented in random order, without indication as to which is the original photograph. Nevertheless, the viewers showed a general preference for photographs with contrast reproductions similar to the original. The results suggest a match between the viewers' and the photographer's preferences. Moreover, the preference decreased systematically with the contrast increment for all reproductions. This tendency seems to be independent of variations in category or spatial configuration. The results are in line with the observed contrast discrimination performance, and also consistent with the anchoring theory and recent propositions of biologically based rules for art creation and appreciation as manifestations of the function of the brain.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Affiliations: Department of Information Science, Graduate School of Science and Technology, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba 263-8522, Japan

Publication date: 01 July 2006

More about this publication?
  • 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.

  • Editorial Board
  • Information for Authors
  • Submit a Paper
  • Subscribe to this Title
  • Membership Information
  • Information for Advertisers
  • Terms & Conditions
  • Privacy Policy
  • Information for JIST-First Authors
  • Ingenta Connect is not responsible for the content or availability of external websites
  • 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