A Method for Suppressing the Edge Halo Effect in Convex Set Projection Super-resolution Image Reconstruction
A low-resolution image, convex set projection technology, applied in the field of image processing, can solve problems such as edge blur, edge halo effect, and low resolution
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[0102] see Figure 5 The flow of the method for suppressing the edge Halo effect during POCS super-resolution image reconstruction disclosed in this embodiment includes the following steps:
[0103] Step S1, read the low-resolution image sequence g with overlapping parts in the same scene i , i is the serial number of the low-resolution image observation frame, i∈[1,n], n is the total number of low-resolution images, n∈[6,36], the resolution is M×N, M∈[64,256], N ∈ [64,256].
[0104] Step S2, select one frame from n frames of low-resolution images as the low-resolution reference frame g 0 , for g 0 Perform wavelet bicubic interpolation to obtain a high-resolution initial estimate f of qM×qN 0 (x, y), q represents the multiple of resolution improvement, q∈[2,4], and (x, y) represents the coordinate point.
[0105] The POCS algorithm is to project the high-resolution estimated value generated by each iteration into the next convex constraint set, so the quality of the high-...
Embodiment 2
[0173] The above embodiments describe the method disclosed in the present invention in detail theoretically, and describe its beneficial effects theoretically. In the following, this embodiment will start from the actual processing process, compare the results of reconstructing images of different scenes between the present invention and the prior art, and support the present invention from practical applications.
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