Weighted Least Squares Based Detail Enhanced Exposure Fusion - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles International Scholarly Research Notices Year : 2014

Weighted Least Squares Based Detail Enhanced Exposure Fusion

Harbinder Singh
  • Function : Correspondent author
  • PersonId : 962663

Connectez-vous pour contacter l'auteur
Vinay Kumar


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 multi-exposure 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 multi-focus image 2 fusion. Simulation results are compared with a number of existing single resolution and multi-resolution techniques to show the benefits of the proposed scheme for variety of cases.
Fichier principal
Vignette du fichier
Manuscript.pdf (5.91 Mo) Télécharger le fichier
498762.pdf (8.9 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Origin : Publisher files allowed on an open archive

Dates and versions

hal-01098118 , version 1 (22-05-2015)



Harbinder Singh, Vinay Kumar, Sunil Bhooshan. Weighted Least Squares Based Detail Enhanced Exposure Fusion. International Scholarly Research Notices, 2014, pp.18. ⟨10.1049/el:20020212⟩. ⟨hal-01098118⟩
72 View
723 Download



Gmail Facebook X LinkedIn More