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Proceedings Paper

Automated segment-based visual enhancement of photographs
Author(s): Saumil A. Bhukhanwala; Tenkasi V. Ramabadran
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Paper Abstract

In this paper we describe an automated method for the enhancement of digital photographic images. The enhancement incorporates the basic photographic principle that films have best detail in mid-tones and suppressed detail toward the extremes. This means that the subject or the visually strong areas must comprise of mid-tones in order to have good detail. Hence appropriate regions of visual significance within an image are first identified based on the features of focus, contrast, and texture. Enhancement of the image then follows by a gray level transformation of different pixels using a simulated exposure-density curve of photographic films. The enhancement is influenced strongly by the visually significant areas rather than the entire image (global statistics). This allows the subject or important areas to be enhanced to an optimum level (mid-tones) rather than achieving good overall balance but with a dull (over-exposed or underexposed) subject.

Paper Details

Date Published: 20 October 1993
PDF: 7 pages
Proc. SPIE 2028, Applications of Digital Image Processing XVI, (20 October 1993); doi: 10.1117/12.158644
Show Author Affiliations
Saumil A. Bhukhanwala, Iowa State Univ. (United States)
Tenkasi V. Ramabadran, Iowa State Univ. (United States)


Published in SPIE Proceedings Vol. 2028:
Applications of Digital Image Processing XVI
Andrew G. Tescher, Editor(s)

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