Journal ArticleDOI
New false color mapping for image fusion
Alexander Toet,Jan Walraven +1 more
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TLDR
A pixel based colour mapping algorithm is presented that produces a fused false colour rendering of two gray level images representing different sensor modalities that have a higher information content than each of the original images and retain sensor-specific image information.Abstract:
A pixel based colour mapping algorithm is presented that produces a fused false colour rendering of two gray level images representing different sensor modalities. The result-ing fused false colour images have a higher information content than each of the original images and retain sensor-specific image information. The unique component of each image modality is enhanced in the resulting fused colour image representation. First, the common component of the two original input images is determined. Second, the common component is subtracted from the original images to obtain the unique component of each image. Third, the unique component of each image modality is subtracted from the image of the other modality. This step serves to enhance the representation of sensor specific details in the final fused result. Finally, a fused colour image is produced by displaying the images resulting from the last step through respec-tively the red and green channels of a colour display. The method is applied to fuse thermal and visual images. The results show that the colour mapping enhances the visibility of certain details and preserves the specificity of the sensor information. The fused images also have a fairly natural appearance. The fusion scheme involves only operations on corresponding pixels. The resolution of a fused image is therefore directly related to the resolution of the input images. Before fusing, the contrast of the images can be enhanced and their noise can be reduced by standard image processing techniques. The colour mapping algorithm is computational simple. This implies that the investi-gated approaches can eventually be applied in real time and that the hardware needed is not too complicated or too voluminous (an important consideration when it has to fit in an aeroplane for instance).read more
Citations
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Journal ArticleDOI
Perceptual evaluation of different image fusion schemes
Alexander Toet,Eric M Franken +1 more
TL;DR: The deployment of a DII system in addition to a 3–5 μm IR system through image fusion can increase the performance of human observers when the colour mapping relates to the nature of the visual task and the conditions (scene content) at hand.
Proceedings ArticleDOI
Pixel-level image fusion: the case of image sequences
Oliver Rockinger,Thomas Fechner +1 more
TL;DR: A novel approach based on a shift invariant extension of the 2D discrete wavelet transform, which yields an overcomplete and thusshift invariant multiresolution signal representation, is proposed, which outperforms the otherMultiresolution fusion methods with respect to temporal stability and consistency.
Journal ArticleDOI
Registration and fusion of retinal images-an evaluation study
TL;DR: A new registration method based on global point mapping with blood vessel bifurcations as control points and a search for control point matches that uses local structural information of the retinal network is proposed.
Proceedings ArticleDOI
Fusion of visible and thermal imagery improves situational awareness
TL;DR: In this article, two recently developed color image fusion techniques, the TNO fusion scheme and the MIT fusion scheme, are applied to visible and thermal images of military relevant scenarios and an observer experiment is performed to test if the increased amount of detail in the fused images can yield an improved observer performance in a task that requires situational awareness.
Journal ArticleDOI
Contrast-based image fusion using the discrete wavelet transform
Tian Pu,Guoqiang Ni +1 more
TL;DR: A contrast-based image fusion method using the wavelet multiresolution analysis and a new concept called directive contrast is presented, which shows that the fused image can integrate the details of each original image.
References
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Book
Image Analysis and Mathematical Morphology
TL;DR: This invaluable reference helps readers assess and simplify problems and their essential requirements and complexities, giving them all the necessary data and methodology to master current theoretical developments and applications, as well as create new ones.
Journal ArticleDOI
Multisensor image fusion using the wavelet transform
TL;DR: In this article, an image fusion scheme based on the wavelet transform is presented, where wavelet transforms of the input images are appropriately combined, and the new image is obtained by taking the inverse wavelet transformation of the fused wavelet coefficients.