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This paper presents an adaptive fusion method used in heterogeneous sensor networks, which consist of infrared sensors and visible sensors. A fuzzy system is applied to classify the imaging illumination conditions. We select three image quality evaluation parameters as the inputs of the fuzzy system, and the system’s output will determine the fusion weights of the two kinds of images. It means that...
Compressive sensing (CS) has given us a new idea at data acquisition and signal processing. It has proposed some novel solutions in many practical applications. Focusing on the pixel-level multi-source image-fusion problem in wireless sensor networks, the paper proposes an algorithm of CS image fusion based on multi-resolution analysis. We present the method to decompose the images by nonsubsampled...
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