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IJSTR >> Volume 8 - Issue 12, December 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Image Fusion based on Sparse Sampling Method and Hybrid Discrete Cosine Transformation

[Full Text]

 

AUTHOR(S)

Hien Dang, K. Martin Sagayam, P. Malin Bruntha, S. Dhanasekar, A. Amir Anton Jone, G. Rajesh

 

KEYWORDS

Image fusion, compressive sensing, principal component analysis, discrete cosine transformation, sparse sampling, nyquist theorm, low pass filter, fused image.

 

ABSTRACT

Image fusion is a mixture of several images to a merged image ensuing more informative than other input images which have been used in recent years. Image fusion based on Discrete Cosine Transformation (DCT) is dealt in this work. Generally, in image fusion, several images of the same scene are given as input and one image with higher quality is obtained as output. When compared to Nyquist theorem, compressed sensing theory offers an improved result. DCT yields better quality and it requires less storage and low cost amongst the many techniques.

 

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