An approach to utilize a no-reference image quality metric and fusion technique for the enhancement of color images
Date of Award
2016
Degree Name
M.S. in Electrical Engineering
Department
Department of Electrical and Computer Engineering
Advisor/Chair
Advisor: Eric John Balster
Abstract
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.
Keywords
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
Recommended Citation
De Silva, Manawaduge Supun Samudika, "An approach to utilize a no-reference image quality metric and fusion technique for the enhancement of color images" (2016). Graduate Theses and Dissertations. 1174.
https://ecommons.udayton.edu/graduate_theses/1174
