International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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M.Tech / M.E / PhD Thesis | Electronics & Communication Engineering | India | Volume 4 Issue 10, October 2015 | Popularity: 6.8 / 10


     

Modified Wavelet Based Sharp Feature Multi-Focus Image Fusion in DCT Domain

Kawaljit Kaur, Tanvi


Abstract: The Dissertation a multi-focus image fusion approach using a new sharpness criterion that depends on statistics of image's gradient information is proposed in this dissertation. The proposed approach exploits a Discrete Cosine Wavelet criterion to adaptively perform image fusion by selecting most informative (sharp) information from the input images. The proposed Discrete Cosine Wavelet sharpness criterion outperforms over Bacterial conventional sharpness criterion, as verified in our extensive experiments using four sets of test images under two objective metrics, and the comparison takes places in the table and shows that resultant image is better quality than the previous method.


Keywords: Image Processing, Image Fusion, Wavlets


Edition: Volume 4 Issue 10, October 2015


Pages: 616 - 619



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Kawaljit Kaur, Tanvi, "Modified Wavelet Based Sharp Feature Multi-Focus Image Fusion in DCT Domain", International Journal of Science and Research (IJSR), Volume 4 Issue 10, October 2015, pp. 616-619, URL: https://www.ijsr.net/getabstract.php?paperid=SUB158768, DOI: https://www.doi.org/10.21275/SUB158768



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