Object and scene fusion method based on IHS (Intensity, Hue, Saturation) transform
A technology that integrates methods and objects, applied in the field of non-real-time visual simulation technology, and can solve the problems of strict registration accuracy, long processing time, and high complexity
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Embodiment 1
[0080] Embodiment 1: This IHS transformation-based object and scene fusion method uses standard IHS transformation technology to perform brightness fusion, which is actually a brightness replacement operation. In this embodiment, standard IHS transformation technology is used as a brightness fusion tool to realize object and scene fusion Specific steps are as follows:
[0081] ①IHS transformation: perform IHS transformation on the scene image Image1 and the scene image Image2 added with the target object respectively to obtain Image1_hsi and Image2_hsi, and take their brightness components I1 and I2;
[0082] ② Use the histogram of I1 as the standard histogram, and perform histogram matching on I2 to obtain I2'. This is done to weaken the influence of the fusion process on the spectral information of the original scene image;
[0083] ③Brightness fusion: Replace the brightness component of the Image1_hsi image with the I2' obtained above, that is, make I1'=I2';
[0084] ④ IH...
Embodiment 2
[0087] Embodiment 2: In remote sensing image fusion applications, the biggest advantage of SFIM technology compared to standard IHS transformation technology and Brovey transformation technology is that it not only improves the fusion ability of spatial information, but also better preserves the spectral characteristics of source images. The resulting fused image is independent of the spectral properties of the high-resolution image. But SFIM is more sensitive to the registration accuracy of images. However, the images to be fused Image1 and Image2 processed by this IHS-based object and scene fusion method do not have registration accuracy problems, and they can be considered to be 100% registered, so SFIM technology can be introduced as a brightness fusion tool. Using it to achieve brightness fusion can be described by the following formula:
[0088]
[0089] Among them, I1 and I2 are the brightness components of the new scene image and the new scene image with the target...
Embodiment 3
[0092] Embodiment 3: The detailed information extracted from an image by wavelet transform can be fused into another image through many other methods, such as the simplest replacement, superposition, etc. At the same time, in most remote sensing image fusion applications, wavelet-based schemes can achieve better fusion results than general standard schemes without wavelets, especially in minimizing color distortion. Based on this, wavelet technology is introduced in this embodiment. By introducing a weighted model, in this embodiment, we provide an implementation step of using wavelet technology as a brightness fusion tool to realize object and scene fusion as follows:
[0093] ① Perform IHS transformation on the scene image Image1 and the scene image Image2 added with the target object respectively to obtain Image1_hsi and Image2_hsi, and take their brightness components I1 and I2;
[0094] ② Use the histogram of I1 as the standard histogram, and perform histogram matching o...
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