Multi-Focus Medical Image Fusion using Tetrolet Transform based on Global Thresholding Approach
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Most Trusted Research Journal Since Year 2012

ISSN: 2319-7064



Research Paper | Electronics & Communication Engineering | India | Volume 4 Issue 1, January 2015

Multi-Focus Medical Image Fusion using Tetrolet Transform based on Global Thresholding Approach

K.L. Naga Kishore, G. Prathibha

In this paper Multi-focus medical image fusion algorithm based on the tetrolet transform with global thresholding approach was proposed. Tetrolet transform is successfully applied in the image de-noising, image sparse representation, and image restoration. In this paper, tetrolet transform was introduced into the field of medical image fusion since its sparse degree is high. Tetrolet can describe the geometric structural feature of the medical images very well. This paper compares the proposed image fusion algorithm to few similar image fusion algorithms based on the performance evaluation metrics like Entropy, Sharpness and PSNR.

Keywords: Tetrolet Transform, Global Thresholding, Entropy, Sharpness, PSNR

Edition: Volume 4 Issue 1, January 2015

Pages: 518 - 522

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How to Cite this Article?

K.L. Naga Kishore, G. Prathibha, "Multi-Focus Medical Image Fusion using Tetrolet Transform based on Global Thresholding Approach", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB15195, Volume 4 Issue 1, January 2015, 518 - 522

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