Bayer color image interpolation method based on direction flag bits

Abstract

The invention provides a Bayer color image interpolation method based on direction flag bits. The method includes the steps that firstly, unknown green components are restored, gradients of each pixel point in four directions are detected through edge detection operators, direction flag bit information of each pixel point is determined according to the detected gradients, the chromatic aberration coefficient of each pixel point and an adjacent pixel point is calculated, and interpolation restoration is conducted on the unknown green components according to the direction flag bit information and the chromatic aberration coefficient. After all the green components of a whole image are restored, all unknown red and blue components are finally restored based on a chromatic aberration method, and then color interpolation conducted on the Bayer image is finished finally. Compared with a traditional method that single-channel independent interpolation is conducted only by detecting horizontal and perpendicular edges, on the basis that the low complexity and the high image quality of an existing method are kept, interpolation accuracy is further improved, and the method is more suitable for human eye observation and provides a foundation for high-accuracy image restoration in the following process.

Description

technical field [0001] The invention relates to an image interpolation method, in particular to a Bayer color image interpolation method based on a direction flag bit, belonging to the fields of digital image processing and photoelectric imaging. This method achieves fast and efficient interpolation restoration of Bayer mosaic images, and the obtained images achieve good visual effects, which improves the image quality of the existing algorithms, enhances the color contrast of the image, and strengthens the edge definition of the image. A balance of performance and image quality. It can be widely used in various image acquisition systems and digital camera systems. Background technique [0002] In the image acquisition and photoelectric imaging system structure, there are generally two types of digital color cameras: one is an image sensor with three lenses, and three sensors are used on one pixel to collect R, G, and B color components respectively. High and bright colors...

AI Technical Summary

Problems solved by technology

At present, some excellent algorithms applied to digital cameras have appeared, but there are still some problems in the current color interpolation algorithm

Traditional algorithms can be roughly divided into two categories. The first category is to use a single channel for independent interpolation. The algorithm is simple and fast. The disadvantage is that the image quality recovered by interpolation is not good enough and cannot be applied to high-precision systems.

The second type uses multi-channel correlation for interpolation, and the interpolation effect is improved, but due to the complexity of the algorithm and the large amount of calculation, the application is limited

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