The effects of rain on videos are very multifaceted. Therefore to rain recovery is very vital task. Rain recovery is important task for surveillance security as well as movie editing. There were different techniques are available for rain recovery. Video affected by rain means there are intensity fluctuations of pixels. Intensity changes due to rain drops. Recovery of rainy videos means we have to recalculate actual intensity of pixels and assign that intensity to respective pixel. In our framework initially motion objects are identified for separate recovery. Gaussian Noise is remove from video using Gaussian Noise Filter. System is based on motion segmentation. Static and moving objects are differentiates and recovery is done on separately. Rain affected pixels identified and that are recovered. PSNR value is increases for proposed system as compare to existing system. Quality is improved; it is worked on highly dynamic scenes.Keywords: Gaussian Noise, Gaussian Filter, Motion segmentation, Rain Detection,Rain removal, Quality improvement.
| Autorius: | Shilpa Bhojne |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2023 |
| Knygos puslapių skaičius: | 96 |
| ISBN-10: | 6206142957 |
| ISBN-13: | 9786206142959 |
| Formatas: | 220 x 150 x 6 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
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