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Directional weighted interpolation-based CFA (color filter array) image demosaicing method

A technology of demosaicing and interpolation, applied in the field of image processing, can solve problems that are not suitable for practical applications

Inactive Publication Date: 2018-06-15
INST OF BIG DATA RES AT YANCHENG OF NANJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although these methods can fill the missing color components with different interpolation methods, they can also produce interpolation artifacts to varying degrees. In addition, most of these methods have very complicated preset interpolation conditions, which makes them unsuitable for practical application

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  • Directional weighted interpolation-based CFA (color filter array) image demosaicing method

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Embodiment Construction

[0051] In order to make the purpose and technical solutions of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions of the embodiments of the present invention in conjunction with the accompanying drawings of the embodiments of the present invention:

[0052] Such as figure 1 Shown: A Bayer CFA sample with a 7×7 window is shown. Guided by the DWI method, to be interpolated R 5 The missing green center component at position can be estimated from the spectral correlation between adjacent pixels along four directions. By exploiting the color difference between the red (R) and green (G) planes, it can be estimated along four directions North (N), South (S), West (W) and East (E). Mark with direction information as and These four directions (see figure 1 ), estimated as follows:

[0053]

[0054] In order to estimate more accurately We use the color gradient correlation in the four directions ...

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Abstract

The invention relates to a directional weighted interpolation-based CFA (color filter array) image demosaicing method and belongs to the image processing technical field. The method include the following steps: a green plane in a CFA image is estimated, appropriate weights are assigned to each estimated value, a directional gradient is calculated, and interpolation is performed on the green plane;with an inverse gradient adopted as a weighting factor, a five-point gradient inverse weighted filtering method is adopted to optimize interpolated pixels; interpolation is performed on missing red and blue portions; the interpolated red and blue portions are optimized; and an entire panchromatic image is reconstructed, and the demosaicing of the image is completed. The directional weighted interpolation-based CFA (color filter array) image demosaicing method provided by the invention has a good effect in the reconstruction of irregular edges and the preservation of subtle details and has a superior capacity in preserving texture details. The directional weighted interpolation-based CFA (color filter array) image demosaicing method provided by the invention generates fewer visible color artifacts such as zipper artifacts and false color artifacts that vary along abrupt change colors compared with other methods.

Description

technical field [0001] The invention relates to a CFA image demosaic method based on directional weighted interpolation, belonging to the technical field of image processing. Background technique [0002] To reduce cost, the sensor surface of a single-sensor digital (SSD) camera is covered with a color filter array (CFA) such that only three primary color (red, green, and blue) values ​​are sampled by each sensor when recording. Typically, there is only one fixed number of bits (8, 12 or 16 bits) used to measure the amount of red (R), green (G) or blue (B) in a captured pixel. During reconstruction of a full-color image, an interpolation process called CFA is used to estimate the color pixel value at each of the other two missing pixel locations. This process is also known as color image demosaicing. [0003] Since there is only one color element in each pixel, missing colors must be estimated from neighboring pixels. To reconstruct a full-color image, the other two missi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/90G06T11/00
CPCG06T7/90G06T11/001G06T5/00
Inventor 张洁陈向东
Owner INST OF BIG DATA RES AT YANCHENG OF NANJING UNIV OF POSTS & TELECOMM
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