Abstract
An undecimated dual tree complex wavelet transform (UDTCWT) based fusion scheme for astronomical visible/IR images is developed. The UDTCWT reduces noise effects and improves object classification due to its inherited shift invariance property. Local standard deviation and distance transforms are used to extract useful information (especially small objects). Simulation results compared with the state-of-the-art fusion techniques illustrate the superiority of proposed scheme in terms of accuracy for most of the cases.
Highlights
The visible light astronomy due to reflection, refraction, interference, and diffraction enables scientists to unearth many of nature’s secrets; brightness of stars creates a haze in the sky
A fusion scheme for astronomical visible/IR images based on undecimated dual tree complex wavelet transform (UDTCWT), local standard deviation, and distance transform is proposed
The use of UDTCWT is helpful in retaining useful details of the image
Summary
The visible light astronomy due to reflection, refraction, interference, and diffraction enables scientists to unearth many of nature’s secrets; brightness of stars creates a haze in the sky. IR images have good radiometric resolution whereas visible images provide detailed information In this regard, various image fusion techniques have been developed to combine the complementary information present in both images. The wavelet transform based fusion schemes generally decompose the visible and IR images into different base and detail layers, to combine the useful information. In [2], nonsubsampled contourlet transform, local energy, and fuzzy logic based fusion claims better subjective visual effects; merger and description of necessary components of IR and visible images in fusion model require improvements especially in case of noisy images. The above-mentioned state-of-the-art fusion techniques suffer from limited accuracy, high computational complexity, or nonrobustness To overcome these issues, a UDTCWT based visible/IR image fusion scheme for astronomical images is developed. Simulation results illustrate the superiority of proposed scheme in terms of accuracy, for most of the cases
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