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An image denoising method based on BP neural network optimized by improved whale optimization algorithm
2021
EURASIP Journal on Wireless Communications and Networking
AbstractAs an important part of smart city construction, traffic image denoising has been studied widely. Image denoising technique can enhance the performance of segmentation and recognition model and improve the accuracy of segmentation and recognition results. However, due to the different types of noise and the degree of noise pollution, the traditional image denoising methods generally have some problems, such as blurred edges and details, loss of image information. This paper presents an
doi:10.1186/s13638-021-02013-2
fatcat:jqdimtmhzfhbnkszokp2a5osxq