activity
20112023
most citedPosterior Mean Super-resolution with a Causal Gaussian Markov Random Field Prior

26 citations · 36 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2012★ 2 cited

Posterior Mean Super-Resolution with a Compound Gaussian Markov Random Field Prior

Takayuki Katsuki, Masato Inoue

This manuscript proposes a posterior mean (PM) super-resolution (SR) method with a compound Gaussian Markov random field (MRF) prior. SR is a technique to estimate a spatially high…

cs.CV2011★ 26 cited

Posterior Mean Super-resolution with a Causal Gaussian Markov Random Field Prior

Takayuki Katsuki, Akira Torii, Masato Inoue

We propose a Bayesian image super-resolution (SR) method with a causal Gaussian Markov random field (MRF) prior. SR is a technique to estimate a spatially high-resolution image fro…