A fast nonparametric noncausal MRF-based texture synthesis scheme using a novel FKDE algorithm

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
Arnab Sinha, Sumana Gupta

Abstract

In this paper, a new algorithm is proposed for fast kernel density estimation (FKDE), based on principal direction divisive partitioning (PDDP) of the data space. A new framework is also developed to apply FKDE algorithms (both proposed and existing), within nonparametric noncausal Markov random field (NNMRF) based texture synthesis algorithm. The goal of the proposed FKDE algorithm is to use the finite support property of kernels for fast estimation of density. It has been shown that hyperplane boundaries for partitioning the data space and principal component vectors of the data space are two requirements for efficient FKDE. The proposed algorithm is compared with the earlier algorithms, with a number of high-dimensional data sets. The error and time complexity analysis, proves the efficiency of the proposed FKDE algorithm compared to the earlier algorithms. Due to the local simulated annealing, direct incorporation of the FKDE algorithms within the NNMRF-based texture synthesis algorithm, is not possible. This work proposes a new methodology to incorporate the effect of local simulated annealing within the FKDE framework. Afterward, the developed texture synthesis algorithms have been tested with a number of different natura...Continue Reading

References

Mar 8, 2006·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Dimitrios Charalampidis
Feb 5, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Patrizio Campisi, Gaetano Scarano
Feb 16, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·G JacovittiG Scarano
Feb 16, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·J ZhangQ N Tran
Feb 16, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·K B Eom
Feb 16, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·R Paget, I D Longstaff

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Citations

May 9, 2014·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Radu-Dragos UrsChristian Germain

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