Title

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

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