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Demosaicking algorithm for single-sensor camera imaging system

A camera imaging and demosaicing technology, which is applied in the field of image processing and can solve the problems of limited estimation algorithm accuracy and inability to accurately restore natural picture colors.

Inactive Publication Date: 2019-02-01
INST OF BIG DATA RES AT YANCHENG OF NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

Therefore, the performance of these methods is limited by the precision of their estimation algorithms
Moreover, their ability to preserve small edges and details of pictures, as well as the ability to restore textures have certain limitations, and they cannot accurately restore the original colors of natural pictures.

Method used

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Embodiment Construction

[0094] Below in conjunction with accompanying drawing, the step that the present invention realizes is described in further detail:

[0095] The demosaic algorithm for the single-sensor camera imaging system of the present invention, the steps are as follows:

[0096] (1) Input a CFA original image to be demosaiced;

[0097] (2) Interpolation is carried out to the green plane of the CFA original image by using the five-coefficient FIR filter;

[0098] (3) Using gradient inverse weighted filtering method to refine the green plane after interpolation;

[0099] (4) Use the green channel to guide, and perform direction weighted interpolation on the red and blue channels respectively;

[0100] The interpolated red and blue channels are corrected using the thinning method;

[0101] First interpolate the green plane:

[0102] Such as figure 2 The 5 x 5 Bayer CFA sample window is shown by the B i,j (The blue component in the i-th row and j-th column) is estimated in the four di...

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Abstract

The invention relates to a demosaicking algorithm for a single-sensor camera imaging system, and belongs to the technical field of image processing. The method comprises the following steps of inputting a CFA original image; carrying out interpolation on a green plane of the CFA original image by a five-coefficient FIR filter; adopting a gradient inverse weighting filtering method to carry out thinning processing on the green plane after interpolation; utilizing a green channel for guiding, and respectively carrying out direction weighted interpolation on a red channel and a blue channel respectively; correcting the red channel and the blue channel after interpolation by using a thinning method; and outputting the reconstructed whole full-color image. According to the CFA image demosaicking method, an anti-distortion directional filter is added on the basis of a fixed-direction weighted interpolation algorithm, so that the interpolation precision is high, especially the algorithm has good reconstruction effect on irregular edges and good storage effect on tiny details, the texture detail storage capacity is more excellent, the color of the reconstructed image is more natural, and the phenomenon of false color can be effectively inhibited.

Description

Technical field: [0001] The invention belongs to the technical field of image processing, and relates to an image demosaicing method based on directional weighted interpolation using a color filter array (Color Filter Array, CFA). The present invention interpolates and refines the three channels of red, green and blue on the CFA image with mosaic effect, so as to reconstruct a full-color image with higher quality. Background technique: [0002] Color digital images usually use red, blue, and green primary colors to represent color values. In order to reduce costs, the camera lens will be covered with a color filter matrix. In a color digital image, each pixel has only one of the three primary colors of red, green, and blue, and the other two color values ​​​​are interpolated through its adjacent pixels. This technique is called "demosaicking". [0003] In the past few decades, a variety of demosaicing algorithms based on Bayer templates have been proposed. For example, S.C...

Claims

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Application Information

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IPC IPC(8): H04N9/04
CPCH04N23/10
Inventor 陈向东张洁王琦臧婧汲李华康
Owner INST OF BIG DATA RES AT YANCHENG OF NANJING UNIV OF POSTS & TELECOMM
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