IEEE Trans Image Process - Overall well focused catadioptric image acquisition with multi-focal images: a model based method.

Tópicos

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Resumo

When a catadioptric imaging system suffers from limited depth of field, a single image can not capture all the objects with clear focus. To solve this problem, a set of multi-focal images can be used to extend the depth of field by fusing the best focused image regions to an overall well focused composite image. In this paper, we proposed a novel model based method that avoids the computational cost problem of previous extended-depth-of-field algorithms. Based on the special optical geometry properties of catadioptric systems, the proposed model describes the shapes of the best focused image regions in multi-focal images by a series of neighboring concentric annuluses. Then we proposed a method to estimate the model parameters. Based on this model, an overall well focused image is obtained by combining the best focused regions with a fast and reliable online operation. Experiments on catadioptric images of a variety of different scenes and camera settings verify the validity of the model and the robust performance of the proposed method.

Resumo Limpo

catadioptr imag system suffer limit depth field singl imag can captur object clear focus solv problem set multifoc imag can use extend depth field fuse best focus imag region overal well focus composit imag paper propos novel model base method avoid comput cost problem previous extendeddepthoffield algorithm base special optic geometri properti catadioptr system propos model describ shape best focus imag region multifoc imag seri neighbor concentr annulus propos method estim model paramet base model overal well focus imag obtain combin best focus region fast reliabl onlin oper experi catadioptr imag varieti differ scene camera set verifi valid model robust perform propos method

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