IMPROVED ACDCT AND PCA BASED DIGITAL IMAGE FUSION FOR VISULA SENSOR NETWORKS

Amandeep Singh, Sharanjeet Singh

Abstract


This paper has proposed another novel technique which has utilized the higher esteemed Alternating Current (AC) coefficients figured in Discrete Cosine Transform (DCT) domain based fusion with Principal Component Analysis(PCA) and adaptive histogram equalization out. The adaptive histogram equalization is utilized to improve the outcomes further and the utilization of PCA is for expanding the speed of the AC-DCT based fusion strategy; in light of the fact that in color pictures AC-DCT has been connected on each color independently which is time devouring in nature. The trial comes about has unmistakably demonstrated that the proposed procedure beats over the accessible techniques. The proposed calculation has been planned and actualized in MATLAB apparatus utilizing picture preparing tool kit. The relative investigation has demonstrated the importance of the proposed calculation.

Keywords


Image Fusion, Discrete Cosine Transformation, Wavelet Transformation, Principle Component Analysis, Multi-focus images.

Full Text:

PDF


DOI: https://doi.org/10.26483/ijarcs.v8i8.4619

Refbacks

  • There are currently no refbacks.




Copyright (c) 2017 International Journal of Advanced Research in Computer Science