Table of Contents
ISRN Signal Processing
Volume 2014, Article ID 498762, 18 pages
Research Article

Weighted Least Squares Based Detail Enhanced Exposure Fusion

1Department of Electronics and Communication Engineering, Baddi University of Emerging Sciences and Technology, District Solan, Himachal Pradesh 173205, India
2Grupo de Procesado Multimedia, Departamento de Teoría de la Señal y Comunicaciones, Universidad Carlos III de Madrid Leganes, Madrid 28911, Spain
3Department of Electronics and Communication Engineering, Jaypee University of Information Technology, Waknaghat, District Solan, Himachal Pradesh 173215, India

Received 25 November 2013; Accepted 1 January 2014; Published 17 February 2014

Academic Editors: A. Fernandez-Caballero, H. Hu, C. S. Lin, and E. Salerno

Copyright © 2014 Harbinder Singh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Many recent computational photography techniques play a significant role to avoid limitation of standard digital cameras to handle wide dynamic range of the real-world scenes, containing brightly and poorly illuminated areas. In many of these techniques, it is often desirable to fuse details from images captured at different exposure settings, while avoiding visual artifacts. In this paper we propose a novel technique for exposure fusion in which Weighted Least Squares (WLS) optimization framework is utilized for weight map refinement. Computationally simple texture features (i.e., detail layer extracted with the help of edge preserving filter) and color saturation measure are preferred for quickly generating weight maps to control the contribution from an input set of multiexposure images. Instead of employing intermediate High Dynamic Range (HDR) reconstruction and tone mapping steps, well-exposed fused image is generated for displaying on conventional display devices. A further advantage of the present technique is that it is well suited for multifocus image fusion. Simulation results are compared with a number of existing single resolution and multiresolution techniques to show the benefits of the proposed scheme for variety of cases.