A Stereo Image Generation Method Based on Improved Bayesian Model
A Bayesian model, stereo image technology, applied in the field of image processing, can solve the problem of not being able to filter input images, not directly applying stereo images, controlling parallax, etc.
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[0049] The implementation of the method of the present invention will be described in detail below with reference to the accompanying drawings.
[0050] In this embodiment, a stereo image generation method based on an improved Bayesian model is used to generate a stereo image, and the operation flow is as follows: figure 1 As shown, it includes the following steps:
[0051] Step 1. Obtain the pixel-by-pixel viewpoint position of the composite image through the reference image, such as figure 2 Shown.
[0052] Step 1.1: Calculate the reference image v by formula (1) 0 Normalized parallax d for each pixel in 0 (x), normalized parallax d 0 (x) From the standard depth z of each pixel in the reference image 0 (x) and the imaging focal length f of the reference image are obtained.
[0053] Step 1.2: Given synthetic image u and reference image v 0 The pixel-by-pixel image disparity D(x) of the composite image and the reference image are on the same plane, and the corresponding imaging plane...
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