Subscription or Fee Access
Multi-Sensor Image Fusion Based on Visual Saliency Detection
In military, medical imaging, concealed weapon detection, remote sensing and digital photography applications single image capture may not always sufficient to provide entire information of a target scene. For this purpose more than one image of the same scene has to be captured and useful information from these complementary images has to be merged into a single image. Image fusion is the phenomenon of merging useful source imagery content for better visual understanding of a situation. Here, we introduce a new image fusion method depends on two-scale image decomposition and visual saliency detection for multi-sensor images. Approximation and detail layers are extracted from input images by employing a mean filter. Visual saliencies of input images are computed using visual saliency detection process. Detail layers are fused with help of decision map based on visual saliencies. Approximation layers are averaged to get the final approximation layer. Finally, combined image is obtained by the linear combination of final approximation and detail layers. Proposed method is very beneficial because the visual saliency detection process explored in this paper can highlight image features (visually significant information) very well with full resolution. Therefore, the proposed decision map is able to transfer necessary and complementary data of input imagery into the combined image. In contrast to multi-scale decomposition fusion techniques, our technique is computationally simple since two-scale image decomposition is sufficient to achieve satisfactory results. Proposed technique outcomes are compared with the outcomes of state-of-the-art techniques. Our technique outperforms the existing ones.
Visual saliency, Decision map, Fusion, Multi-sensor, Two-scale decomposition.
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.