Abstract: An image denoising algorithm based on BAS-2D-VMD ( Beetle Antennae Search Algorithm-2D-Variational Mode Decomposition ) is proposed for the defect that the 2D-VMD ( 2D-Variational Mode Decomposition) algorithm needs artificially preset K value. This method first uses the BAS algorithm to search for the optimal value of the 2D-VMD parameter K, and then decomposes the image on 2D-VMD to obtain K sub-modes. Mode screening is performed by calculating the correlation coefficient of each mode. Finally, the remaining modes to an image is reconstructed. The image quality is judged by calculating the peak signal-to-noise ratio, and the denoising effect is verified by simulation. This algorithm is applied in the field of image processing of overhead transmission lines, and denoising line images collected by the UAV(Unmanned Aerial Vehicle).Compared with the traditional median filtering and wavelet threshold denoising algorithms, a better denoising effect is obtained. The problem that the line image noise is difficult to remove is solved.

Key words: image processing, image de-noising, variable mode decomposition, beetle antennae search algorithm, correlation coefficient, peak signal-to-noise ratio