Deconvolution is a commonly employed technique for enhancing image quality in optical imaging methods.Unfortu-nately,its application in optical coherence tomography(OCT)is often hindered by sensitivity to noise,which ...Deconvolution is a commonly employed technique for enhancing image quality in optical imaging methods.Unfortu-nately,its application in optical coherence tomography(OCT)is often hindered by sensitivity to noise,which leads to ad-ditive ringing artifacts.These artifacts considerably degrade the quality of deconvolved images,thereby limiting its effect-iveness in OCT imaging.In this study,we propose a framework that integrates numerical random phase masks into the deconvolution process,effectively eliminating these artifacts and enhancing image clarity.The optimized joint operation of an iterative Richardson-Lucy deconvolution and numerical synthesis of random phase masks(RPM),termed as De-conv-RPM,enables a 2.5-fold reduction in full width at half-maximum(FWHM).We demonstrate that the Deconv-RPM method significantly enhances image clarity,allowing for the discernment of previously unresolved cellular-level details in nonkeratinized epithelial cells ex vivo and moving blood cells in vivo.展开更多
对Akkar提出的基于随机掩码的AES(Advanced Encryption Standard)算法实现技术进行了安全性分析,指出了可行的DPA(differential power analysis)及HO-DPA(high order DPA)攻击.在此基础上,提出了AES算法的一种改进实现技术,其核心是用...对Akkar提出的基于随机掩码的AES(Advanced Encryption Standard)算法实现技术进行了安全性分析,指出了可行的DPA(differential power analysis)及HO-DPA(high order DPA)攻击.在此基础上,提出了AES算法的一种改进实现技术,其核心是用不同的随机量对密码运算过程中的中间结果进行掩码,以消除AES算法实现中可被功耗攻击的漏洞.在各随机量相互独立且服从均匀分布的前提下,进一步证明了改进的实现技术能够有效抗DPA及HO-DPA攻击;给出了改进实现中所需的大量随机量的产生技术.与其他典型防护技术相比,改进的AES算法实现以一定的芯片面积开销获得了高安全性.展开更多
基金supported by the Guangdong Natural Science Fund General Program (2023A1515011289)Singapore Ministry of Health's National Medical Research Council under its Open Fund Individual Research Grant (MOH-OFIRG19may-0009)+2 种基金Ministry of Education Singapore under its Academic Research Fund Tier 1 (RG35/22)Academic Research Funding Tier 2 (MOE-T2EP30120-0001)China-Singapore International Joint Research Institute (203-A022001).
文摘Deconvolution is a commonly employed technique for enhancing image quality in optical imaging methods.Unfortu-nately,its application in optical coherence tomography(OCT)is often hindered by sensitivity to noise,which leads to ad-ditive ringing artifacts.These artifacts considerably degrade the quality of deconvolved images,thereby limiting its effect-iveness in OCT imaging.In this study,we propose a framework that integrates numerical random phase masks into the deconvolution process,effectively eliminating these artifacts and enhancing image clarity.The optimized joint operation of an iterative Richardson-Lucy deconvolution and numerical synthesis of random phase masks(RPM),termed as De-conv-RPM,enables a 2.5-fold reduction in full width at half-maximum(FWHM).We demonstrate that the Deconv-RPM method significantly enhances image clarity,allowing for the discernment of previously unresolved cellular-level details in nonkeratinized epithelial cells ex vivo and moving blood cells in vivo.
文摘对Akkar提出的基于随机掩码的AES(Advanced Encryption Standard)算法实现技术进行了安全性分析,指出了可行的DPA(differential power analysis)及HO-DPA(high order DPA)攻击.在此基础上,提出了AES算法的一种改进实现技术,其核心是用不同的随机量对密码运算过程中的中间结果进行掩码,以消除AES算法实现中可被功耗攻击的漏洞.在各随机量相互独立且服从均匀分布的前提下,进一步证明了改进的实现技术能够有效抗DPA及HO-DPA攻击;给出了改进实现中所需的大量随机量的产生技术.与其他典型防护技术相比,改进的AES算法实现以一定的芯片面积开销获得了高安全性.
