Digital Image Separation Algorithm Based on Joint PDF of Mixed Images

Mohd Wajid; Mayank Sharma

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Digital Image Separation Algorithm Based on Joint PDF of Mixed Images

机译：基于混合图像联合PDF的数字图像分离算法

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In this article, we have presented an algorithm for separating the mixed or fused images. We have considered that the two independent histogram equalized digital images are linearly mixed, and the joint probability density function (PDF) or the scatter plot of the two observed or mixed images is used for separation. The objective and subjective separation results are presented, and observed to be better than the other existing techniques in terms of Peak signal-to-noise ratio (PSNR) and Signal-to-interference ratio (SIR).

机译：在本文中，我们提出了一种用于分离混合图像或融合图像的算法。我们已经考虑过将两个独立的直方图均衡化的数字图像线性混合，并且使用联合概率密度函数（PDF）或两个观察到的或混合的图像的散点图进行分离。提出了客观和主观的分离结果，观察到它们在峰值信噪比（PSNR）和信噪比（SIR）方面优于其他现有技术。

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《Image Processing & Communications》 |2016年第1期|共8页
作者
Mohd Wajid; Mayank Sharma;
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中图分类计算技术、计算机技术;
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Digital Image Separation Algorithm Based on Joint PDF of Mixed Images

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