  We develop a multiexposure image fusion method based on texture features,
which exploits the edge preserving and intraregion smoothing property of
nonlinear diffusion filters based on partial differential equations (PDE). With
the captured multiexposure image series, we first decompose images into base
layers and detail layers to extract sharp details and fine details,
respectively. The magnitude of the gradient of the image intensity is utilized
to encourage smoothness at homogeneous regions in preference to inhomogeneous
regions. Then, we have considered texture features of the base layer to
generate a mask (i.e., decision mask) that guides the fusion of base layers in
multiresolution fashion. Finally, well-exposed fused image is obtained that
combines fused base layer and the detail layers at each scale across all the
input exposures. Proposed algorithm skipping complex High Dynamic Range Image
(HDRI) generation and tone mapping steps to produce detail preserving image for
display on standard dynamic range display devices. Moreover, our technique is
effective for blending flash/no-flash image pair and multifocus images, that
is, images focused on different targets.
