Image processing method, image processing device and chip

Abstract

The embodiment of the invention provides an image processing method, an image processing device and a chip, which are used for processing RGBW images acquired by an image sensor. The method comprises the following steps: sampling a W channel in an RGBW image to obtain a first sampling image, and sampling each color channel in the RGBW image to obtain a second sampling image corresponding to each color channel; interpolating the first sampling image into a full-resolution panchromatic image; guiding by using the panchromatic image, and performing first interpolation processing on the second sampling image corresponding to each color channel to obtain a first interpolation image corresponding to each color channel; the full-color image is used for guiding, second interpolation processing is carried out on the first interpolation image corresponding to each color channel, and a full-resolution color image corresponding to each color channel is obtained; and carrying out merging processing on the full-resolution color images corresponding to the color channels to generate an RGB image. Based on the above scheme, the image quality of the finally obtained RGB image can be improved.

Description

technical field [0001] The embodiments of the present application relate to the field of images, and in particular, to an image processing method, an image processing device, and a chip. Background technique [0002] With the development of photographing technology of electronic devices such as mobile phones, the requirements for dark light scenes are getting higher and higher, so there is a larger color filter array (CFA) than the Bayer (bayer) arrangement. RGBWCFA of incoming light. Since the W channel has a higher signal-to-noise ratio than the color channel (specifically, the R channel, the G channel and the B channel), it can bring more light in, so the RGBWCFA has higher sensitivity, especially in dark light. scene with better imaging performance. However, the introduction of the W channel makes the distribution of R pixels, G pixels and B pixels more sparse, resulting in the degradation of the image quality of the RGB image obtained after demosaicing the RGBWCFA ima...

AI Technical Summary

Problems solved by technology

However, the introduction of the W channel makes the distribution of R pixels, G pixels and B pixels more sparse, resulting in the degradation of the image quality of the RGB image obtained after demosaicing the RGBWCFA image

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