Green component and color difference space-based Bayer format color interpolation method

A green component and green difference technology, which is applied to the combination of green component and red and blue component step-by-step interpolation to achieve color recovery. In the field of Bayer format color interpolation, it can solve the problem of poor color smoothness and high color correlation without considering the image , can not effectively prevent the image color mutation and other problems, to achieve the ideal imaging effect, solve the image effect is not ideal, the effect is ideal

Inactive Publication Date: 2010-12-15
ZHEJIANG UNIV
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AI Technical Summary

Problems solved by technology

Although this algorithm solves the problem of image edge blurring, it does not consider the high color correlation of the image, it cannot effectively prevent the color mutation of the image, and the effect is poor in terms of color smoothness

Method used

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  • Green component and color difference space-based Bayer format color interpolation method
  • Green component and color difference space-based Bayer format color interpolation method
  • Green component and color difference space-based Bayer format color interpolation method

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Embodiment Construction

[0057] The present invention will be further described below in conjunction with accompanying drawing.

[0058] The present invention is applicable to color interpolation in any Bayer format digital camera imaging system, figure 1 Shows the arrangement diagram of each color component of the image in the Bayer format.

[0059] In the elaboration process of the specific embodiment, the symbols R, G, and B represent the red component, the green component, and the blue component of the image respectively, and the symbol R ij , G ij , B ij Represent the red component, green component, and blue component of the pixels in the i-th row and j-th column of the image, the symbols R-G, B-G represent the difference between red and green, blue and green, respectively, and the symbol R ij -G ij , B ij -G ij Respectively represent the red and green difference, blue and green difference of the i-th row and j-th column pixel of the image, and the image starts from the 0th row and the 0th ...

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Abstract

The invention relates to a green component and color difference space-based Bayer format color interpolation method. Two main errors which are jaggies and pseudo colors respectively exist in the conventional color interpolation methods. In the method, in a full-color image recovery process, color recovery is realized by adopting a combined way of interpolating green components, red components and blue components in steps; and the method comprises the reconstruction of the full-resolution green components G, the calculation of pixel point color differences R-G or B-G comprising the red or blue components, the reconstruction of full-resolution color difference images R-G and B-G, and the recovery of the red components R and the blue components B by the addition of the reconstructed full-resolution green components and the reconstructed color difference images. The method of the invention has the advantages of effectively solving the problem that the images have blurry edges and unsharp detail textures, reducing the color distortion of the images, preventing color mutation and improving color smoothness.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and relates to a Bayer format color interpolation method based on a green component and a color difference space, in particular to a method for realizing color restoration in a combined manner of step-by-step interpolation of green components and red and blue components. Background technique [0002] With the continuous maturity of computer technology, digitalization has become the trend of social development. Digital imaging technology represented by digital camera has attracted the attention of academia and industry. In the past two decades, CCD and CMOS digital cameras have been increasingly used in daily life and production. Considering the cost and volume, most digital cameras generally use a single CCD or CMOS as a sensor for receiving images. In order to accurately and completely describe a color pixel point, at least three color components of red, green, and blue are req...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N9/04H04N9/77
Inventor 华磊谢磊陈惠芳
Owner ZHEJIANG UNIV
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