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Titlebook: Combating Bad Weather Part I; Rain Removal from Vi Sudipta Mukhopadhyay,Abhishek Kumar Tripathi Book 2015 Springer Nature Switzerland AG 20

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楼主: fundoplication
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978-3-031-01123-8Springer Nature Switzerland AG 2015
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Book 2015ic camera, 2) removal of the fog from images and videos captured by a moving single uncalibrated camera system. The book begins with a literature survey. Pros and cons of the selected prior art algorithms are described, and a general framework for the development of an efficient rain removal algorit
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1559-8136 ature survey. Pros and cons of the selected prior art algorithms are described, and a general framework for the development of an efficient rain removal algorit978-3-031-01123-8978-3-031-02251-7Series ISSN 1559-8136 Series E-ISSN 1559-8144
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Probabilistic Approach for Detection and Removal of Rain,
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James B. Elsner,Anastasios A. Tsonison. Subsequently a meteorological property-based rain detection algorithm is presented which requires less number of frames and maintains the same accuracy. Here the algorithm makes use of the area, aspect ratio and orientation of the possible rain streaks for the refinement of rain candidates. The
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https://doi.org/10.1007/978-94-007-0071-0Edmund Husserl; Rudolf Carnap; body; concept; intention; mind; phenomenology; psychology
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Supply and Demand in Constructionse can be a whole corporation, a government organization, or a network of geographically distributed entities. EE applications support digitalization of traditional business processes, adding new processes enabled by e-business technologies (e.g. large scale Customer Relationship Management).
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