Share Email Print

Journal of Electronic Imaging

Adaptive and integrated neighborhood-dependent approach for nonlinear enhancement of color images
Author(s): Li Tao; Vijayan K. Asari
Format Member Price Non-Member Price
PDF $20.00 $25.00

Paper Abstract

A novel image enhancement algorithm called AINDANE (adaptive and integrated neighborhood dependent approach for nonlinear enhancement) for improving the visual quality of digital images captured under extremely low or nonuniform lighting conditions is proposed. AINDANE is comprised of two separate processes, namely, adaptive luminance enhancement and adaptive contrast enhancement, to provide more flexibility and better control over image enhancement. Adaptive luminance enhancement is a global intensity transformation based on a specifically designed nonlinear transfer function, which is self-tuned by the histogram statistics of the input image. This process largely increases the luminance of darker pixels and compresses the dynamic range of the image at the same time. Adaptive contrast enhancement tunes the intensity of each pixel based on its relative magnitude with respect to the neighboring pixels. This process is also adaptively controlled by the global statistics of the image. A color restoration process, based on the relationship between the spectral bands and the luminance of the original image, is applied to convert the enhanced intensity image back to a color image.

Paper Details

Date Published: 1 October 2005
PDF: 14 pages
J. Electron. Imag. 14(4) 043006 doi: 10.1117/1.2136903
Published in: Journal of Electronic Imaging Volume 14, Issue 4
Show Author Affiliations
Li Tao, Old Dominion Univ. (United States)
Vijayan K. Asari, Old Dominion Univ. (United States)

© SPIE. Terms of Use
Back to Top