Bayer-pattern CFA image demosaicking method based on non-local mean

A non-local mean, demosaicing technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problem of poor interpolation effect of small edges and texture areas, to suppress false color effects, and improve the interpolation effect. The effect of chromatic aberration

Inactive Publication Date: 2012-09-12
XIDIAN UNIV
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Problems solved by technology

[0006] Aiming at the defect that the existing demosaicing algorithm has poor interpolation effect on the small edge and texture area of ​​the image, a Bayer-type CFA image demosaicing method based on non-local mean value is proposed. The present invention adopts the idea of ​​non-local mean value, Divide the image into blocks,

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  • Bayer-pattern CFA image demosaicking method based on non-local mean
  • Bayer-pattern CFA image demosaicking method based on non-local mean
  • Bayer-pattern CFA image demosaicking method based on non-local mean

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Embodiment Construction

[0032] Attached below figure 1 , the step that the present invention realizes is described in further detail:

[0033] Step 1, input a CFA image I to be demosaiced s , where the CFA image to be demosaiced is a Bayer-mode CFA image, and each pixel in the image has only one color value among the three primary colors of red, green, and blue. This color value does not need to be interpolated, and the other two color values ​​are missing. Interpolation is performed using a demosaic method.

[0034] Step 2, estimate the brightness, the calculation formula is as follows:

[0035] L = A ( H T σ - 1 H + λ 1 M 1 T M ...

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Abstract

The invention discloses a bayer-pattern CFA image demosaicking method based on a non-local mean, mainly solving the problem of poor effect of interpolation on a small fringe part of an image in the prior art, comprising the following steps:(1) inputting a Bayer-pattern CFA image; (2) estimating brightness; (3) adopting an image block pixel by pixel as a current to-be-demosaicked image block; (4) extracting three image block sets; (5) calculating weights of the image blocks; (6) performing weighted average on the similar image blocks; (7) performing interpolation on the current to-be-demosaicked image block; (8) determining whether interpolation on all pixels is completed, if yes, executing step (9), if not shifting to step (3); (9) correcting an edge; (10) correcting a color; and (11) outputting a color image. By adopting the method provided in the invention small fringe area information of an image can well restored, and false color effects can be effectively inhibited; and the method is especially suitable for a CFA image with more textures.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a non-local mean-based Bayer-type CFA image demosaicing method in the technical field of image restoration. The present invention can be used to restore the complete color information of the CFA image in a single-sensing chip camera, thereby making up for the loss of image color information caused by reducing the hardware cost of the camera; at the same time, it can also be used in the computer to control the camera in the "Raw Mode" mode The saved raw data is processed to obtain high-quality color images. Background technique [0002] Single-sensing cameras use a single CCD or CMOS sensor chip to capture images by covering a color filter array (color filter array, CFA) in front of the sensor. The CFA image captured in this way is a mosaic image. Each pixel has only one color value of the three primary colors, while the other two color values ​​need to be interpol...

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Application Information

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IPC IPC(8): G06T5/50G06T7/40G06T3/40
Inventor 王桂婷焦李成朱同华钟桦张小华田小林公茂果侯彪王爽
Owner XIDIAN UNIV
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