Pixel-level image fusion scheme based on steerable pyramid wavelet transform using absolute maximum selection fusion rule
| Autor: | Ashish Khare, Om Prakash, Arvind Kumar |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Discrete wavelet transform
Image fusion Computer science business.industry Stationary wavelet transform Multiresolution analysis Second-generation wavelet transform ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform Pattern recognition Wavelet packet decomposition Wavelet Computer Science::Computer Vision and Pattern Recognition Computer vision Artificial intelligence business |
| Zdroj: | 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT). |
| DOI: | 10.1109/icicict.2014.6781377 |
| Popis: | The objective of image fusion is to combine relevant information from two or more images of the same scene into a single composite image which is suitable for human and machine perception. Spatial domain based methods produce spatial distortions in the fused image which can be well handled by the use of wavelet transform based methods. In this paper, we proposed a pixel-level image fusion scheme using multiresolution steerable pyramid wavelet transform. Wavelet coefficients at different decomposition levels are fused using absolute maximum fusion rule. Two important properties shift invariance and self-reversibility of steerable pyramid wavelet transform are advantageous for image fusion because they are capable to preserve edge information and hence reducing the distortion in the fused image. Experimental results show that the proposed method improves fusion quality by reducing loss of relevant information present in individual images. For quantitative evaluation, we have used fusion metrics as fusion factor, fusion symmetry, entropy and standard deviation. |
| Databáze: | OpenAIRE |
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