Title

Visual Calibration And Correction For Ambient Illumination

Keywords

ambient illumination; contrast correction; device independence; ergonomics; Experimentation; Human factors; perceptually accurate display; reflections; Standardization; Verification; Viewing conditions

Abstract

Many applications require that an image will appear the same regardless of where or how it is displayed. However, the conditions in which an image is displayed can adversely affect its appearance. Computer monitor screens not only emit light, but can also reflect extraneous light present in the viewing environment. This can cause images displayed on a monitor to appear faded by reducing their perceived contrast. Current approaches to this problem involve measuring this ambient illumination with specialized hardware and then altering the display device or changing the viewing conditions. This is not only impractical, but also costly and time consuming. For a user who does not have the equipment, expertise, or budget to control these facets, a practical alternative is sought. This paper presents a method whereby the display device itself can be used to determine the effect of ambient light on perceived contrast, thus enabling the viewers themselves to perform visual calibration. This method is grounded in established psychophysical experimentation and we present both an extensive procedure and an equivalent rapid procedure. Our work is extended by providing a novel method of contrast correction so that the contrast of an image viewed in bright conditions can be corrected to appear the same as an image viewed in a darkened room. This is verified through formal validation. These methods are easy to apply in practical settings, while accurate enough to be useful. © 2006, ACM. All rights reserved.

Publication Date

1-1-2006

Publication Title

ACM Transactions on Applied Perception

Volume

3

Issue

4

Number of Pages

429-452

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1145/1190036.1190042

Socpus ID

85014131023 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85014131023

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