Study on Wavelet Basis and Optimal Decomposition Level in Image Fusion
نویسندگان
چکیده
Wavelet transform is an effective method of image fusion. But the decomposition level is an important factor which affects the image fusion effect and computing complexity. By using some evaluation methods of image fusion, such as entropy, standard deviation, mutual information, and quality measure methods was proposed by Wang & Bovik and Xing. Evaluation of image fusion was implemented with different wavelet type and different decomposition level. Experiment results indicate that 1-level is optimized decomposition level for different wavelet basis.
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