Color moire eliminating method and device

Abstract

The invention discloses a color moire elimination method and device. The method comprises the following steps: acquiring an original image; calculating a brightness component and three color components of the original image; obtaining a frequency spectrum overlapping coefficient of the brightness component and each color component in the three color components; according to the frequency spectrumoverlapping coefficient, obtaining a weight coefficient corresponding to each color component in the three color components, and the weight coefficient being larger than 0 and smaller than or equal to1; and obtaining output values of four color channels according to the brightness component, the three color components and the weight coefficients of the three color components.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a color moiré elimination method and device. Background technique [0002] Image sensors are semiconductor devices that convert light signals into electrical signals. Traditional image sensors include Charge Coupled Devices (Charge Coupled Devices, CCD) image sensors and Complementary Metal Oxide Semiconductor (Complementary Metal Oxide Semiconductor, CMOS) image sensors. To achieve color images, the most common method is to add a color filter array (Color Filter Array, CFA) at the front end of the image sensor, for example figure 1 The shown Bell-type CFA includes three color channels of red, green and blue (RGB). [0003] When imaging, each pixel position of CFA only allows light of one color to pass through, enters the image sensor, and converts it into an electrical signal output. Therefore, the original image captured by the image sensor is a mosaic image that has been samp...

AI Technical Summary

Problems solved by technology

The downside of this approach is that sharp color edges become blurred and blurred by surrounding colors

The larger the filter used for blurring, the worse this color bleed, and to remove color moiré, this filter is usually very large, resulting in unacceptable color bleed

Another disadvantage of this type of method is that the calculation is huge and cannot be applied in real-time systems

[0007] In order to improve the imaging effect of the image sensor under low-light conditions, many new CFAs have added a transparent channel W in addition to the three primary colors of red, green and blue (RGB), such as figure 2 As shown, this CFA has four color channels, which reduces the noise of the image sensor under low illumination, but its lower sampling rate makes the color moiré problem of the collected image more serious

Images