Depth Map Generation Using Infocused and Defocused Images
نویسندگان
چکیده
منابع مشابه
Iterative Feedback Estimation of Depth and Radiance from Defocused Images
This paper presents a novel iterative feedback framework for simultaneous estimation of depth map and All-In-Focus (AIF) image, which benefits each other in each stage to obtain final convergence: For the recovery of AIF image, sparse prior of natural image is incorporated to ensure high quality defocus removal even under inaccurate depth estimation. In depth estimation step, we feed back the c...
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We propose a method for simultaneous recovery of depth and restoration of scene intensity, given two defocused images of a scene. The space-variant blur parameter and the focused image of the scene are modeled as Markov random.fields (MRFs). Line fields are included to preserve discontinuities. The joint posterior distribution of the blur parameter and the intensity process is examined for loca...
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ژورنال
عنوان ژورنال: Journal of Broadcast Engineering
سال: 2014
ISSN: 1226-7953
DOI: 10.5909/jbe.2014.19.3.362