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Method of multi-directional edge interpolation based on cfa image

An edge interpolation and multi-directional technology, applied in the field of CFA image processing, can solve the problems of inability to accurately predict the interpolation direction of lost green components, inability to make full use of adjacent pixels, and reduced edge accuracy, so as to reduce false color effects and improve image quality , the effect of reducing the gap

Inactive Publication Date: 2016-11-16
SHANGHAI UNIV
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Problems solved by technology

When calculating the edge of the image, this method cannot make full use of the adjacent pixels at the pixel position, cannot obtain accurate edges, and cannot accurately predict the interpolation direction of the missing green component. After the edge is enhanced by edge filtering, the accuracy of the edge is further reduced.

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  • Method of multi-directional edge interpolation based on cfa image
  • Method of multi-directional edge interpolation based on cfa image
  • Method of multi-directional edge interpolation based on cfa image

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Embodiment Construction

[0022] Below in conjunction with accompanying drawing, the step that the present invention realizes is described in further detail:

[0023] Such as figure 1 Shown, the method for multidirectional edge interpolation based on CFA image of the present invention, its steps are as follows:

[0024] (1), input a CFA image

[0025] In the CFA image, only one of the three primary colors of red, green, and blue is known for each pixel, and the values ​​of the other two primary colors are unknown. The Bayer mode is the most commonly used mode in the CFA image. In the CFA image of the Bayer mode, each phase There are two known green values ​​among the four pixels adjacent to the 2-row and 2-column image block, and the other two pixels are known red values ​​and blue values ​​respectively, such as figure 2 as shown, figure 2 In , each square represents a pixel, R, G and B in each square represent the original color value at this position respectively, the original color value is red...

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Abstract

The invention discloses a CFA-based image multidirectional edge interpolation method. The method comprises the following steps of: (1) inputting a CFA image; (2) calculating multidirectional edge of the CFA image; (3) predicting an interpolation direction of missing green of the multidirectional edge of the CFA image; (4) respectively calculating local gradient values of edges in directions of east, south, west and north at a pixel position for interpolation and updating; (5) conducting initial interpolation for the missing green component of the multidirectional edge of the CFA image; (6) calculating enhancement gradient values of the edges in multiple directions and the green component value after updating and interpolation; and (7) conducting interpolation for missing blue component and red component of the multidirectional edge of the CFA image. The interpolation method can accurately predict the interpolation direction of the missing green component, reduce the difference between the interpolated missing components and original real components, and effectively improve the image quality after interpolation, and is easy to realize.

Description

technical field [0001] The invention belongs to the technical field of CFA image processing, in particular to a method for multi-directional edge interpolation using a color filter array (ColorFilter Array, CFA) image. Background technique [0002] Color digital images usually use red, green, and blue primary colors to represent color values. In order to save costs, most digital cameras use a single CCD or CMOS sensor. By covering a color filter array (Color Filter Array, CFA) in front of the sensor, only A matrix is ​​used to represent a color image. In a color digital image, each pixel has only one color value among red primary color, green primary color, and blue primary color, and the other two color values ​​are interpolated according to its neighboring pixels. This interpolation technique It's called "Demosaicing". The most widely used CFA image is the Bayer model. In the Bayer mode of the CFA image, two of the four adjacent pixels have only green values, one has onl...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/40G06T5/00
Inventor 何恩阳刘立庄冯国瑞陈斌侯勇
Owner SHANGHAI UNIV
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