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Titlebook: Combating Bad Weather Part II; Fog Removal from Ima Sudipta Mukhopadhyay,Abhishek Kumar Tripathi Book 2015 Springer Nature Switzerland AG 2

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Important Fog Removal Algorithms,a and the object. Initial works in fog removal algorithms are based on the contrast enhancement and do not assume any fog degradation model. Thus, these algorithms can be categorized in the enhancement-based and restoration-based approaches.
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Conclusions and Future Directions,orithm. In Chapter 2, the atmospheric condition referred as fog is analyzed. Chapter 3 has described the sources where the foggy images and videos are available and the metrics used to measure the efficacy of the fog removal techniques. In Chapter 4, the development of fog removal algorithms for ima
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978-3-031-01124-5Springer Nature Switzerland AG 2015
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Combating Bad Weather Part II978-3-031-02252-4Series ISSN 1559-8136 Series E-ISSN 1559-8144
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Synthesis Lectures on Image, Video, and Multimedia Processinghttp://image.papertrans.cn/c/image/229834.jpg
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Nina Golyandina,Anatoly Zhigljavskyt special effects. It occurs when an object is filmed, then the camera is switched off and the object is moved out of the frame and the camera is switched on back. When the recorded clip is watched again, it gives a notion of disappearance to the viewer. Until the 1990s, special effects in post prod
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https://doi.org/10.1057/9780230512795orithm. In Chapter 2, the atmospheric condition referred as fog is analyzed. Chapter 3 has described the sources where the foggy images and videos are available and the metrics used to measure the efficacy of the fog removal techniques. In Chapter 4, the development of fog removal algorithms for ima
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