Jan. 27, 2022, 2:10 a.m. | Xiaoqing Luo, Yuting Jiang, Anqi Wang, Zhancheng Zhang, Xiao-Jun Wu

cs.CV updates on arXiv.org arxiv.org

The traditional two-state hidden Markov model divides the high frequency
coefficients only into two states (large and small states). Such scheme is
prone to produce an inaccurate statistical model for the high frequency subband
and reduces the quality of fusion result. In this paper, a fine-grained
multi-state contextual hidden Markov model (MCHMM) is proposed for infrared and
visible image fusion in the non-subsampled Shearlet domain, which takes full
consideration of the strong correlations and level of details of NSST
coefficients. …

arxiv cv fusion markov

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Analyst (Commercial Excellence)

@ Allegro | Poznan, Warsaw, Poland

Senior Machine Learning Engineer

@ Motive | Pakistan - Remote

Summernaut Customer Facing Data Engineer

@ Celonis | Raleigh, US, North Carolina

Data Engineer Mumbai

@ Nielsen | Mumbai, India