Method for processing image by using the mathematical model established based down sampling and interpolation
A mathematical model and interpolation method technology, applied in the field of image processing, can solve the problem of keeping less information in images
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specific Embodiment approach 1
[0042] Specific embodiment one: illustrate this embodiment in conjunction with Fig. 1, the steps of this embodiment are as follows:
[0043] Step 1: Input the image F to be downsampled O ;
[0044] Step 2: Establish an interpolation mathematical model:
[0045] f H =C I (U H f L u V ), (1-1)
[0046] where F H Pixels equal to F O pixels, they have the same resolution, U H and U V An operator for interpolating zero pixels in the horizontal and vertical directions for low-resolution images; C I The operator for interpolation processing, that is, the pixel prediction model;
[0047] Step 3: Select the interpolation method, determine the pixel prediction model, that is, determine the operator C of the interpolation method I , while according to the image F O Size determination U H and U V ;
[0048] Step 4: Establish a downsampling mathematical model:
[0049] f L =D H (C F f O )D V , (1-2)
[0050] C F is the downsampling operator, that is, the pixel pred...
specific Embodiment approach 2
[0054] Embodiment 2: The difference between this embodiment and Embodiment 1 is that the interpolation methods selected in step 3 include the pixel copy interpolation method (PD), the bilinear interpolation method (Ave), and the edge-preserving image based on geometric duality. Interpolation method (GD), image interpolation method based on image grid triangulation (IMT) and local covariance method (EDILC); determine the pixel prediction model in it:
[0055] Y ^ ( n ) = F ( N ( Y ( n ) ) ) ; - - - ( 1 - 3 )
[0056] Among them, N(·) represents the neighborhood corresponding to Y(n) in X,...
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Abstract
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