Bayesian | α-matting | python implementation

Published: 10 January 2023
on channel: Image Processing, CV, ML, DL & AI Projects

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Bayesian α-matting for images - an implementation with python

by solving linear system of equations for each of the unknown pixels in the input image, the ones marked in gray in the trimap image, to obtain F (foreground), B (background) and α (matte), by iteratively maximizing the posterior log-likelihood.

system of equation is obtained by computing the posterior with the data term representing fidelity to the matting equation I = αF + (1-α)B and the Gaussian priors on the Foreground and Background (with MLE parameter estimates).

ref: https://grail.cs.washington.edu/proje...
digital-matting/papers/cvpr2001.pdf) and youtube lecture video by Rich Radhke

#imageprocessing #imageprocessingpython #matting #bayesian

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