An approach to utilize a no-reference image quality metric and fusion technique for the enhancement of color images

Date of Award


Degree Name

M.S. in Electrical Engineering


Department of Electrical and Computer Engineering


Advisor: Eric John Balster


This thesis presents a color image enhancement method that uses an existing method (developed for grayscale images) to adjust the luminance component of a color image towards intensifying details without debasing the images' perceptual quality. For color modifications, the proposed method uses Adaptive and Integrated Neighborhood-Dependent Approach for Nonlinear Enhancement (AINDANE), a superior method originally defined for improving color images captured under low-light. Furthermore, utilization of an appropriate white balancing technique gives rise to a color temperature controlled final image. It is shown that a no-reference quality metric scores higher for final enhanced images of selected diverse images and a comparison with AINDANE shows the competitiveness of the proposed method. Finally, a statistical factor based graphical representation displays a convergence towards the visually optimal range.


Digital images Deconvolution, Color photography Processing, Image processing Digital techniques, Electrical Engineering, No-Reference Image Quality Metric, Color Images Enhancement, Fusion Technique, Color Enhancement

Rights Statement

Copyright © 2016, author