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- W4302176221 abstract "The first part of this book presents selected works which contributed to the foundation of the video pre/post-processing for combating bad weather due to rain. It has also presented a few latest developments in this arena. The techniques developed using temporal and spatiotemporal properties of rain-affected pixels help to increase the accuracy of detection with a reduced number of frames and do not need any assumption about the shape, size and velocity of the rain drops. This book has also presented temporal and spatiotemporal variance as a reference-free quality metric for measuring the efficacy of the rain removal algorithms. hey will be very helpful for assessing rain removal algorithms in real rain as they do not require the ground truth. It is demonstrated that all the rain removal algorithms developed for a fixed camera can be used for moving camera by using global motion estimation. 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 developed algorithms require the detection of rain only in intensity plane to reduce the algorithmic complexity and execution time." @default.
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- W4302176221 date "2015-01-01" @default.
- W4302176221 modified "2023-09-25" @default.
- W4302176221 title "Conclusion and Scope of Future Work" @default.
- W4302176221 doi "https://doi.org/10.1007/978-3-031-02251-7_8" @default.
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