Digital Image Separation Algorithm Based on Joint PDF of Mixed Images

Mohd Wajid, Mayank Sharma

Abstract


In this article, we have presented an algorithm for separating the mixed or fused images. We have considered that 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).


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