Enhancing effective depth-of-field by image fusion using mathematical morphology

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摘要

Reduced depth-of-field (DOF) poses a problem in the light optical imaging system, since the objects present outside this zone appear blurry in the recorded image. The effective DOF of the sensor may be enhanced considerably without compromising the quality of the image by fusing images captured with different focused regions. This paper presents an image fusion technique suitable for combining multifocus images of a scene. The method employs morphological filters to select sharply focused regions from various images and then combines them together to reconstruct the image in which all the regions are properly focused. A performance measure based on image gradients is used to compare the results obtained by the proposed method with those obtained by other image fusion techniques.

论文关键词:Depth-of-field,Multifocus images,Registration,Correlation,Image fusion,Morphological filters,Multiscale top-hat transformation,Image gradient

论文评审过程:Received 5 March 2004, Revised 1 February 2006, Accepted 5 April 2006, Available online 30 June 2006.

论文官网地址:https://doi.org/10.1016/j.imavis.2006.04.005