Edge structure information based block compression perception reconstruction method
A block-compressed sensing and edge structure technology, which is applied in the field of image processing, can solve problems such as image edge blurring, and achieve fast speed, accelerated reconstruction speed, and good reconstruction effect
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[0024] Reference figure 1 The specific implementation process of the present invention is as follows:
[0025] Step 1: Divide an image into several small blocks. The size of the small blocks in this example is 32×32, but it is not limited to this value;
[0026] Step 2: Perform wavelet transformation on each image block, retain low-frequency signals, and compress and sample high-frequency signals to obtain the measurement vector y:
[0027] y=A*x, where x is the wavelet transform of the original image, and A is an M×N random perception matrix, where M<
[0028] Step 3: Use low frequency information to restore the image, and perform edge detection on the restored image;
[0029] Set all the high-frequency parts of the transformed image block to zero, and perform inverse wavelet transformation together with the retained low-frequency information, stitch the inversely transformed image blocks to obtain a blurred image, and use the canny operator on the blurred image Perform edge detect...
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