Abstract:
There is information in scene that normal camera is unable to capture using photography
due to presence of under and over exposed regions in scene. Our goal is to capture all the
information present in scene even the information that is present in over and under exposed
region. Due to advancement of technology many techniques have been proposed, yet there
is a need for efficient, cost effective and reliable technique that can produce perceptually
appealing, sharp and more informative fused image. In current research multi-exposure
image fusion technique is proposed for differently exposed images. Different scene are used
for testing of proposed algorithm like indoor, outdoor, natural scene etc. Images may contain
noise due to camera jittering or sensors used for capturing of multi-exposed images. Noise
removal and Edge preservation filter is used to remove noise from input dataset. Features
are extracted that are useful for reconstruction of image that have more information than any
of the input image. Subjective and objective analysis is performed to verify the significance
of proposed technique compared to already existing algorithms and results demonstrate that
the produce technique outperform existing algorithm.
