现代电子技术2025，Vol.48Issue(13)：159-165,7.DOI:10.16652/j.issn.1004-373x.2025.13.023
基于自适应采样的全息图像压缩感知降噪方法
Holographic image compressive sensing noise reduction based on adaptive sampling
摘要
Abstract
During the research of digital hologram sampling and reconstruction,the noise of holographic image will affect the reconstruction result.The existing compressive holography fails to take into account the sparsity and texture feature distribution of digital holographic images,and the sampling rate is allocated unreasonably.In view of the above,a digital hologram noise reduction method based on adaptive block compressive sensing is proposed.In the method,the intensity of light field is used as the measure of image texture details.On the basis of the pre-sampling information,the holographic image is divided into different information blocks and the adaptive sampling rate is calculated.The adaptive under-sampled reconstruction of the noisy holographic image is realized by compressive sensing.The results of the numerical simulation experiments show that the proposed method can improve the SNR(signal-to-noise ratio)and similarity of holographic images effectively in the case that the sampling rate exceeds 0.4 when it is applied to different reconstruction algorithms.It can be seen that the proposed method can make full use of the sparsity and texture features of the digital holographic images,and allocate the sampling rate of different noise subblocks reasonably in comparison with the traditional reconstruction algorithms.Therefore,the proposed method can effectively improve the quality of the object image reconstructed by optical reconstruction.关键词
数字全息/分块压缩感知/图像降噪/边缘信息/图像重构/自适应采样Key words
digital holography/block compressive sensing/noise reduction/edge information/image reconstruction/adaptive sampling分类
信息技术与安全科学引用本文复制引用
李炳良,陈波,秦孟伟,杨靖..基于自适应采样的全息图像压缩感知降噪方法[J].现代电子技术,2025,48(13):159-165,7.基金项目
河北省自然科学基金项目(F2019209443) （F2019209443）
