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A comparison of iterative Fourier transform algorithms for image quality estimation

机译:迭代傅里叶变换算法进行图像质量估计的比较

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A comparison was established between two iterative Fourier transform algorithms (IFTAs), such as the original Gerchberg-Saxton (GS) and the mixed-region amplitude freedom (MRAF) algorithms, for the hologram reconstruction of different target images through the full reference image quality estimation (IQE) and pixel homogeneity in the Fourier plane presented theoretically and experimentally. The comparison was applied depending upon both algorithms based on a computer-generated hologram (CGH) implemented utilizing a reflective phase-modulated liquid-crystal spatial light modulator (LC-SLM) to obtain the digital kinoform holograms of the desired intensity distributions. These digital holograms were applied to reconstruct the intensity patterns for 852 nm, which represents a laser beam source. The theoretical and experimental results of the reconstructed patterns obtained using the MRAF algorithm were found to be smoother and better than the patterns obtained using the GS algorithm. Unmodulated light beam (dc term) is removed from the reconstructed patterns attributed to digital kinoform holograms of MRAF algorithm as an alternative to the theoretical and experimental results without using any additional optic equipment at the light path. Moreover, this paper discussed the full reference objective quality estimations, such as mean square error (MSE), peak signal-to-noise ratio (PSNR), structural content (SC), normalized absolute error (NAE), normalized cross correlation (NK), and homogeneity of pixels, through the contrast (Cont) and inverse difference moment (IDM) for numerical and experimental results. According to the two desired intensity distributions processed theoretically and experimentally, the results of MRAF algorithm were found to be in the highly accurate recovered phase, the quality of image was enhanced, and the dc term was decreased. Image quality estimation of full reference objective relay on the feedback algorithms experimental attestation has not be
机译:在两个迭代傅里叶变换算法(IFTAS)之间建立了比较,例如原始Gerchberg-Saxton(GS)和混合区域幅度自由度(MRAF)算法,通过完整参考图像质量来实现不同目标图像的全息图重建理论上和实验呈现傅里叶平面中的估计(IQE)和像素均匀性。根据利用反射相位调制的液晶空间光调制器(LC-SLM)实现的计算机生成的全息图(CGH)来应用比较,以利用反射相位调制的液晶空间光调制器(LC-SLM)来获得所需强度分布的数字KinoForm全息图。应用这些数字全息图以重建852nm的强度图案,其表示激光束源。使用MRAF算法获得的重建模式的理论和实验结果被发现更平滑并且优于使用GS算法获得的图案。从MRAF算法的数字KinoForm全息图归因于MRAF算法的重建模式中除去未调制的光束(DC术语)作为理论和实验结果的替代,而不使用光路上的任何额外的光学设备。此外,本文讨论了完整的参考目标质量估计,例如均方误差(MSE),峰值信噪比(PSNR),结构内容(SC),归一化绝对误差(NAE),标准化交叉相关(NK )和像素的均匀性,通过对比度(续)和反差时刻(IDM)用于数值和实验结果。根据理论上和实验处理的两个所需的强度分布,发现MRAF算法的结果是在高精度回收的阶段,提高了图像的质量,并且DC术语降低。在反馈算法上的完整参考目标继电器的图像质量估计并不是

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