Multi-focus image fusion by adaptive decomposition with mutual information
碩士 === 玄奘大學 === 資訊科學學系碩士班 === 97 === The objective of image fusion is to combine information from multiple images of the same scene. The result of image fusion is a new image which is more suitable for human and machine perception or further image-processing tasks such as image segmentation, feature...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/60066446859388599750 |
| Summary: | 碩士 === 玄奘大學 === 資訊科學學系碩士班 === 97 === The objective of image fusion is to combine information from multiple images of the same scene. The result of image fusion is a new image which is more suitable for human and machine perception or further image-processing tasks such as image segmentation, feature extraction and object recognition. In this paper, a new wavelet-based approach for multi-resolution image fusion is presented. Regions are obtained using adaptive decomposition. The mutual information (MI) is designed for adaptive decomposition. This value is produced from wavelet low frequency band. Finally, the existing fusion rule is applied on the corresponding regions of source images. Experiments showed that the proposed method can have better fusion results of performance than existing image fusion methods without adaptive decomposition.
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