Snapshot type hyperspectral image demosaicing method
A hyperspectral image and demosaicing technology, applied in the field of snapshot hyperspectral image demosaicing, can solve the problem of high computational complexity, achieve broad application prospects, improve the peak signal-to-noise ratio of hyperspectral image demosaicing, and have a large number of channels. Effect
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Embodiment 1
[0040] A snapshot hyperspectral image demosaicing method, see figure 1 , the method includes the following steps:
[0041] 101: Calculate the corresponding weight according to the Euclidean distance between the target pixel point and the adjacent pixel point;
[0042]102: Perform correlation weighted interpolation according to different weights of adjacent pixel positions to obtain the pixel value of the target pixel;
[0043] 103: Divide the interpolated initial demosaiced hyperspectral image into several three-dimensional image blocks, search for image blocks similar to the three-dimensional image blocks to be processed, and combine them into a new data cube;
[0044] 104: The synthesized data cube has low rank, and it is processed with a low rank optimization algorithm to extract sub-image blocks optimized by the algorithm, and reconstruct and combine each sub-image block to obtain the final demosaiced hyperspectral image.
[0045] In summary, the embodiment of the presen...
Embodiment 2
[0047] Combine below figure 2 with image 3 For a further introduction to the snapshot hyperspectral image demosaicing method provided by the embodiment of the present invention, see the following description for details:
[0048] The snapshot hyperspectral imaging technology based on the spectral filter array directly obtains a severely undersampled mosaic image. The spectral filter array covered on the sensor surface allows each pixel position to only collect spectral information of a certain band. To obtain a complete Hyperspectral images require demosaicing of mosaic images. The hyperspectral image demosaicing technology proposed in the embodiments of the present invention can efficiently and accurately reconstruct hyperspectral images, and has a good effect on preserving image details and textures. And there is no need to consider the arrangement mode and channel number of the filter array. In conjunction with the accompanying drawings, the detailed description is as ...
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