Low-rank video background reconstructing method
A video and background technology, applied in the field of image processing, can solve the problems of lack of detail information, blurred background image, etc., to achieve the effect of increasing detail information, eliminating shadows, and improving clarity
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[0030] refer to figure 1 , the specific implementation steps of the present invention are as follows:
[0031] Step 1, input the video to be processed, and extract 200 consecutive image sequences x of size m×n from the video to be processed i ,i=1,...,200, where figure 2 is the extracted first image x 1 , image 3 is the extracted 30th image x 30 , using a median filter window of size 3×3 to image sequence x i Perform filtering to obtain the filtered image sequence
[0032] Step 2, the filtered image sequence All are pulled into columns, arranged in the order of i=1,...,200 to form high-dimensional data X∈R (m×n)×200 , where R (m×n)×200 Indicates a 2-dimensional integer matrix with m×n rows and 200 columns.
[0033] Step 3, use the low-rank decomposition algorithm to process the high-dimensional data X∈R (m×n)×200 Perform low-rank decomposition to obtain the background matrix L∈R of X (m×n)×200 and the foreground matrix S∈R (m×n)×200 .
[0034] In the above, t...
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