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

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...

AI Technical Summary

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, search for similar image blocks in the neighborhood of the current image block, and use the structural similarity of the image to interpolate the current image block, so that the interpolation results of the high-frequency part of the image are significantly improved, and false positives are effectively suppressed. color effect

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