关键词: 数字全息, 相干散斑噪声, 小波变换, 模极大值, Neyman-Pearson准则

Abstract: In order to eliminate the speckle noise in the reconstructed image of digital holography, on the basis of retaining the image details as much as possible at the same time of reducing noise, a method of image edge keeping and speckle noise denoising based on wavelet transform is proposed. It analyzes the principle of wavelet modulus maxima used in image edge detection and wavelet threshold denoising based on Neyman-Pearson criterion. A kind of speckle noise reduction method in the reconstructed image of digital holography is given. It gets the edge image by the wavelet modulus maxima method, and then denoises the reconstructed image by wavelet threshold method based on Neyman-Pearson criterion. The final reconstructed image is obtained by merging the denoised image with the edge image. The result shows that the method can reduce the speckle noise and keep the edge of image well.

Key words: digital holography, speckle noise, wavelet transform, wavelet modulus maxima, Neyman-Pearson criterion