Sequence image fusion based on wavelet Grey prediction

Hongjiu Tao; Hejin Xiong; Wei Chen; Jinwen Tian

doi:10.1117/12.486871

1 April 2003 Sequence image fusion based on wavelet Grey prediction

Hongjiu Tao, Hejin Xiong, Wei Chen, Jinwen Tian

Proceedings Volume 5099, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003; (2003) https://doi.org/10.1117/12.486871
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

We use our proposed discrete multi-resolution wavelet transform and grey system theory prediction to fuse sequence images to generate a high quality image. The fused images are simultaneously obtained via only one wavelet transform and the sequence of images. Several other methods were implemented to compare with the proposed approach. In fusion image, The sequence of images information can supplement each other, so the image fusion not only have abundant information, but also reserve the sequence of images detail. This experiment results also illuminates that image fusion is an important way to improve represent ability of image.

Citation Download Citation

Hongjiu Tao, Hejin Xiong, Wei Chen, and Jinwen Tian "Sequence image fusion based on wavelet Grey prediction", Proc. SPIE 5099, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003, (1 April 2003); https://doi.org/10.1117/12.486871

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