Projection-onto-convex-sets image reconstruction method based on SURF matching and edge detection
An edge detection and convex set projection technology, applied in image enhancement, image data processing, instruments, etc., can solve edge blurring and other problems, achieve the effect of suppressing edge oscillation, improving real-time and robustness, and solving edge oscillation
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[0047] The overall implementation process of the POCS super-resolution image reconstruction algorithm for improving image edge quality and motion estimation disclosed by the present invention is as follows:
[0048] Step 1. Acquisition of low-resolution image observation sequence:
[0049] a. The simulation experiment images are degraded for Cameraman (complex background), Lena and Boat (more details). Use a 5×5 Gaussian low-pass filter with a standard deviation of 3 as a blurring operator to blur the image, and then add Gaussian white noise with a mean value of 0 and a variance of 0.001 to the image to generate a degraded image, and then pass The affine transformation performs a series of translation and rotation on the degraded image, and the transformation parameters are randomly selected from the range of translation X and Y directions (0-30, 0-30) pixels, and rotation angle (0-10) degrees. Set the downsampling factor to 2, the simulation generates as figure 2 The seque...
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