Remote Sensing Image Fusion Based on the Nonsubsampled Contourlet Transform

Qiang, 张强 Zhang; Baolong, 郭宝龙 Guo

doi:10.3788/aos20082801.0074

Cited by 11 publications

(1 citation statement)

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“…The fused single image should contain more useful and salient information than any of the original images, which helps either comprehend the imaged scene or further process. Nowadays, image fusion has an extensive application such as infrared and visual image fusion in military targets detection [1][2][3], MRI and CT fusion in medical imaging, multi-spectral fusion in satellite earth observation [2,4,5], etc.…”

Section: Introductionmentioning

confidence: 99%

Multi-Frame Image Fusion Method Combining Spatial-Temporal Saliency Detection and NSCT

Peng

Huang

Zhao

et al. 2011

AMR

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We propose a new image fusion method to fuse the frames of infrared and visual image sequences more effectively. In our method, we introduce an improved salient feature detection algorithm to achieve the saliency map of the original frames. This improved method can detect not only spatially but also temporally salient features using dynamic information of inter-frames. Images are then segmented into target regions and background regions based on saliency distribution. We formulate fusion rules for different regions using a double threshold method and finally fuse the image frames in NSCT multi-scale domain. Comparison of different methods shows that our result is a more effective one to stress salient features of target regions and maintain details of background regions from the original image sequences.

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