Title :
Signal and Image Processing with Belief Propagation [DSP Applications]
fDate :
3/1/2008 12:00:00 AM
Abstract :
In this column, we review a particularly effective inference algorithm known as belief propagation (BP). After describing its message-passing structure, we demonstrate the interplay of statistical modeling and inference in two challenging applications: denoising discrete signals transmitted over noisy channels, and dense 3-D reconstruction from stereo images.
Keywords :
belief networks; image reconstruction; inference mechanisms; signal denoising; statistical analysis; belief propagation; dense 3D stereo image reconstruction; discrete signals denoising; image processing; inference algorithm; message-passing structure; noisy channels; signal processing; statistical modeling; Application software; Belief propagation; Digital signal processing; Graphical models; Hidden Markov models; Image processing; Inference algorithms; Shape measurement; Signal processing; Signal processing algorithms;
Journal_Title :
Signal Processing Magazine, IEEE
DOI :
10.1109/MSP.2007.914235
