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Research Paper | Computer Science | Volume 15 Issue 3, March 2026 | Pages: 446 - 455 | India
Motion Deblurring Algorithm for Wind Power Inspection Imaging Using Modified GoogleNet
Abstract: In a world where energy is more widely distributed, wind energy is a type of non-static energy that can be transformed into variable energy, resulting in a study that can be precisely measured and is being investigated in several evolutions. An impossible wind power inspection image can be segmented using a motion deblurring technique that can clearly identify the photographer in the image captured during the further inspection. Similar to how the fuzzy region of a picture can be clearly retrieved from a group of hazy photographs captured at various locations and events using various forms of segmentation. The motion deblurring method is used in numerous fields and varied research is now being done to determine the true state by using this methodology to clearly extract a picture or any frequency. the capacity to evaluate and organize information more precisely using Google is evident, and this is acceptable everywhere. In the current world's numerous forms of indetermination in visual energy, high-frequency fuzzy images in wind power inspection images can be acquired through the multivariate services of attempts to produce reliable test results. The best solution right now is to use the motion deblurring algorithm with the additional help of Google Net to accurately calculate the blurring image in a view inspection image. There are many types of energy, and many attempts have been made to accurately calculate the energy available from different alternatives.
Keywords: Energy, High frequency, Segmentation, Electricpower transmission, windpower inspection image, blurring image
How to Cite?: R. Nandhakumar, M. Durairaj, "Motion Deblurring Algorithm for Wind Power Inspection Imaging Using Modified GoogleNet", Volume 15 Issue 3, March 2026, International Journal of Science and Research (IJSR), Pages: 446-455, https://www.ijsr.net/getabstract.php?paperid=SR26305144655, DOI: https://dx.dx.doi.org/10.21275/SR26305144655