Multi Focus Image Fusion Using Statistical Approaches
Engineering and Technology Journal,
2010, Volume 28, Issue 2, Pages 356-368
Abstract
Pictures of the long focal lengths cameras, suffer from the problem of limiteddepth of field. Consequently, it is often difficult to obtain good focus for all
objects in the picture. In this work, the problem of multi focus is solved by taking
several pictures with different focus points, and then fusing them together to form
a single image using image fusion method. Contrast of the source images is used
as a measure to select the proper pixels (pixels with high focus) to obtain the
fused (output) image. This work suggests using three statistical measures of
contrast to calculate the pixels gradient magnitude. Those three measures are
applied and compared with the traditional method of gradient magnitude measures
(Sobel and Perwit) in Multi focus Image Fusion. The results show that the
modified methods gave better results than Sobel and Perwit methods.
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