Multi Focus fusion based on Complex Wavelet for Surveillance application
نویسندگان
چکیده
Image fusion deals with the integration of multi modal images from various sensors, with visual and infrared, to MMW images, aiming at achieving improved image quality to better support improved image classification, monitoring, surveillance and etc. The main goal of this paper is to introduce a new approach to fuse visual image and infrared images by complex wavelet taking depth of focus into consideration. First, the theoretical basis of complex wavelet is described together with its key properties (e.g. approximate shift invariance, good directional selectivity, perfect reconstruction (PR), limited redundancy and efficient order-N computation). Secondly, the new method for fusing multi modal images of different focal length based on complex wavelet is proposed. Finally, experiment results show that the fusion method based on complex wavelet transform is remarkably better than the fusion method based on classical discrete wavelet transform.
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