Computer Science ›› 2016, Vol. 43 ›› Issue (6): 321-324.doi: 10.11896/j.issn.1002-137X.2016.06.064

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Image Synthesis Model Based on Bayesian Estimation Method of Posterior Maximum

YANG Lin, XU Hui-ying and WANG Yan-jie   

  • Online:2018-12-01 Published:2018-12-01

Abstract: In the area of image processing,it usually needs to generate a novel image via a series of related input images.Most of current researches set some heuristic rules in the process of image synthesis.In order to improve the efficiency of image synthesis,this paper proposed a Bayesian based image synthesis model.Given the ideal image synthesis model,we analyzed the errors of sensors and images.As the error between image and geometric is related,we further analyzed their relationship.While doing posterior estimation with given image data,we got the prior parameters of the model by minimizing energy.In the process of optimizing the target function,we applied the re-weighted iterative method based on related works.The experiments show that the proposed image synthesis model has better performance in image synthesis and rendering than related works.

Key words: Bayesian algorithm,Image processing,Image synthesis,Geometric,Estimation method of posterior maximum

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