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An image scaling and source image technology, applied in the field of image processing, can solve the problems of insufficient image clarity and image quality degradation, and achieve the effects of high definition, improved image quality, and good numerical stability.
Inactive Publication Date: 2012-09-12
WONDERSHARE TECH CO LTD
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[0006] However, the zoomed images obtained by these solutions are not clear enough, and the image quality is seriously degraded.
Method used
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no. 1 example
[0044] see figure 1 , is the flow chart of the first embodiment of the image zooming method provided by the present invention, and the method includes:
[0045] In step S100, based on the three color channels of red, green and blue, respectively determine the image area to which each pixel belongs in the red component intensity, green component intensity and blue component intensity of the source image, and the image area includes an edge area and a flat area .
[0046] If it is determined that the pixel belongs to the flat area, step S101 is executed. In step S101, according to the binary three-point Lagrangian interpolation algorithm, the red component intensity, green component intensity and blue component intensity corresponding to the pixels belonging to the flat area are interpolated to calculate the pixel value of the target image.
[0047] If it is determined that the pixel belongs to the edge area, step S102 is executed. In step S102, interpolation calculation is p...
no. 2 example
[0050] see figure 2 , is the flow chart of the second embodiment of the image scaling method provided by the present invention, the method includes:
[0051] In step S200, based on the three color channels of red, green and blue, select at least one pixel around each pixel from the red component intensity, green component intensity and blue component intensity of the source image according to the preset first sampling rule as the first sampling space. The first sampling rule can be: for pixel I in red component intensity r (i, j), select I in the intensity of the red component r (i-1, j-1), I r (i-1, j), I r (i-1, j+1), I r (i, j-1), I r (i, j), I r (i, j+1), I r (i+1, j-1), I r (i+1, j), I r (i+1, j+1) These 9 pixels are used as the first sampling space; for the pixel I in the green component intensity g (i, j), select I in the intensity of the green component g (i-1, j-1), I g (i-1, j), I g (i-1, j+1), I g (i, j-1), I g (i, j), I g (i, j+1), I g (i+1, j-1)...
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Abstract
The embodiment of the invention discloses an image zooming method. The method comprises the following steps of: determining an image area to which each pixel belongs in red component intensity, green component intensity and blue component intensity of a source image respectively, wherein the image area comprises an edge area and a flat area; if it is determined that the pixel belongs to the flat area, carrying out interpolation calculation on the red component intensity, the green component intensity and the blue component intensity corresponding to the pixel belonging to the flat area according to a binary three-point Lagrange interpolation algorithm to calculate a pixel value of a target image; if it is determined that the pixel belongs to the edge region, carrying out the interpolation calculation on the red component intensity, the green component intensity and the blue component intensity corresponding to the pixel belonging to the edge area according to a gravity Newton binary mixed rational interpolation algorithm to calculate the pixel value of the target image; and generating the target image according to the pixel value. By employing the method and the system, the definition of the target image after zooming processing can be increased, and the quality of the target image after the zooming processing can be obviously improved.
Description
technical field [0001] The invention relates to the field of image processing, in particular to an image scaling method and system. Background technique [0002] Image scaling is to change the resolution of the image, including image enlargement from low resolution to high resolution and image reduction from high resolution to low resolution. This feature reconstructs the pixel color value of the target image at the new resolution. [0003] There are many image scaling algorithms, how to greatly improve the visual effect of image scaling without affecting the overall scaling speed is a hot research issue. [0004] The patent application number CN201010618417.6 provides an image scaling method and device, the method is: obtain the coordinates of virtual pixels corresponding to the coordinates of the pixel points in the target image in the source image, and the coordinates are horizontal coordinates or Vertical coordinates; obtain the pixel values of M actual pixel points ...
Claims
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