Improved bilinear Bayer format color interpolation method

Abstract

The invention discloses an improved bilinear Bayer format color interpolation method. The conventional method is large in calculation amount for chromatic aberration, high in complexity and long in delay, and the imaging speed of a digital camera is remarkably influenced. In a full-color image reconstruction process, color recovery is realized in a combination way of stepwise interpolating a green component and red and blue components. The method comprises the following steps of: strictly distinguishing an image edge by utilizing the spatial correlation of an image, and reconstructing the green component under full resolution; and reconstructing the red and blue components under the full resolution by using an improved bilinear interpolation algorithm and the correction and compensation of a recovered green component. Compared with the conventional interpolation algorithm, the method has the advantages that the peak signal to noise ratio of a recovered full-color image color signal is high, and an ideal interpolated image effect can be achieved under the condition of no increase of computational complexity of the algorithm.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and relates to a Bayer format color interpolation method based on green components and edge detection, in particular to a method for realizing color restoration in a combined manner of step-by-step interpolation of green components and red and blue components. Background technique [0002] As digital cameras, scanners and other computer input devices become more and more popular, CCD and CMOS sensors, as the most important components in image systems, are gradually becoming known to people. In order to get the most detailed description of the original image, three groups of CCD sensors are generally required. However, in order to reduce volume and cost, most digital still cameras (digital cameras, digital video recorders, etc.) only use one set of CCD or CMOS sensors. Generally, the color filter array is covered on the digital camera image sensor, because the Bayer format color ...

AI Technical Summary

Problems solved by technology

The algorithm has high algorithm complexity and high overhead

The median filter has a better effect on the edge performance of the image, with less distortion, and the suppression effect on false color is particularly good, and the color distortion is also small, but the biggest disadvantage is that the calculation of the median filter for the color difference is large. Its complexity is too high, which has a significant impact on the imaging speed of digital cameras, and the delay is high

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