Image sensor demosaic method and device

Abstract

The invention discloses a demosaicing method and device for an image sensor. The method includes: calculating the initial estimated value of the brightness of the current point and adjacent pixels, calculating the gradient of the current point and adjacent pixels in each direction, and obtaining the brightness in the corresponding direction. Weight, weighting the weight with the obtained initial estimated value of brightness to obtain the estimated value of the low-frequency signal of the central point brightness; calculating the brightness difference and chromaticity difference between the pixels in the neighborhood and the central point, and weighting the brightness difference and the chromaticity difference to obtain the center The estimated value of the high-frequency signal of point brightness; the estimated value of the low-frequency signal is added to the estimated value of the high-frequency signal to obtain the brightness enhancement signal of the center point; the relationship between different channels and brightness of each point is obtained by using the brightness enhancement signal, original data and weight calculation Luminance-color difference signal; the color component signal of each point is obtained by using the brightness enhancement signal and the brightness-color difference signal. The invention can solve the problems of low resolution of the output image after demosaicing and serious aliasing of bright colors.

Description

technical field [0001] The invention relates to the field of image signal processing, in particular to a demosaicing method and device based on an image sensor with 2×2 as the minimum sampling period. Background technique [0002] The most common image sensor with a minimum sampling period of 2x2 is the Bayer format, which samples only one of the three primary colors of red, green and blue at each pixel position. The sampling rates of the three colors of red, green and blue in the Bayer format sensor are 1 / 4, 1 / 2 and 1 / 4 respectively. The process of interpolating the output raw (RAW) image of an image sensor into a full-resolution multi-color channel image is called demosaicing. Generally speaking, the interpolation algorithm for the Bayer format image sensor usually uses the high sampling rate of green to interpolate green at full resolution, and then uses green to interpolate red and blue. [0003] In practical applications, in order to improve the low-light effect of th...

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Problems solved by technology

[0008] In order to overcome the deficiencies in the above-mentioned prior art, the object of the present invention is to provide a demosaicing method and device for an image sensor, which can be well compatible with multiple format image sensors, and solve the problem of low resolution and bright color of the output image after demosaicing. Severe aliasing and other problems

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