COLOR IMAGE RECONSTRUCTION FROM CHARLIER MOMENTS PRELIMINARY EVALUATION OF SCHEMES FOR PREDICTING USER SATISFACTION WITH THE ABILITY OF SYSTEM TO MEET STATED OBJECTIVES SIMULATION OF SIGNAL ORIENTED ALGORITHM WITH LOSSY DATA COMPRESSION MODEL-DRIVEN DEVELOPMENT IN IMPLEMENTING INTEGRATION FLOWS Color image reconstruction from Charlier moments

Xiaopeng Zhang, Simon Liao, Tomasz Górski, Nadiya Gubareni, Krawczyk, Białko, Stergiopoulos, Colin Stirling, Jan Węglarz, Michal Zábovský, Min Quan, Zhu (+10 others)
2015 United Kingdom Journal of Theoretical and Applied Computer Science   unpublished
In this research, we conducted a study on Charlier polynomials and discrete orthogonal Charlier moments. With the three channel method, we have carried out the color image reconstructions from Charlier moments with satisfied results. Our experimental results show that the color images can be precisely reconstructed in each of three primary color channels individually. We conclude that the moment methods developed for gray-level images can be applied in color image analysis.
fatcat:edfy3k4adja3pbqqivbpi4ys2e