Ghost imaging also known as correlated imaging, is an indirect imaging method that reconstructs target object information through non-local intensity correlation. Traditional ghost imaging uses laser propagated to a rotating ground glass to generate speckle, The transmitted light passing through the object is then detected by a bucket detector, and the object image is reconstructed through non-local intensity correlation. However, the presence of speckle causes irregular noise points in the reconstructed images, leading to low contrast and signal-to-noise ratio. Aiming at the shortcoming of ghost imaging, suppressing the speckle noise via transform domain decomposition and reconstruction is proposed in this paper for high quality ghost imaging. The reconstructed image quality was quantitatively evaluated using peak signal-to-noise ratio (PSNR), Structural Similarity Index (SSIM), and mutual information(MI). Compared to existing approaches, the proposed method provides significant improvements to optimize image quality.
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