ISSN : 2319-7323
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE ENGINEERING |
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ABSTRACT
Title |
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Multi-focus image fusion using de-noising and sharpness criterion |
Authors |
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Sukhdip Kaur, Kamaljit Kaur |
Keywords |
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Image fusion, Gradient Sharpness, PCA. |
Issue Date |
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November 2012 |
Abstract |
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The concept of multi-focus image fusion is used to combine multiple images with different objects in focus to obtain all the objects in focus and for better information in a scene. But the challenge is to how evaluate the information of the input images with better quality of image. In order to provide solution of this problem, a new criterion is proposed to give better quality of image using PCA, by de-noising and bilateral gradient based sharpness criterion that is evaluated using the gradient information of the images. Then the proposed method is further exploited to perform weighted aggregation of multi-focus images. The experimental results show that the proposed method is better than the other method in terms of quality matrices like Mutual information, spatial frequency and Average difference. |
Page(s) |
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120-125 |
ISSN |
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2319-7323 |
Source |
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Vol. 1, No.2 |
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