Edge mode-based image color component interpolating method

Abstract

The invention discloses an edge mode-based image color component interpolating method, and relates to the field of graphics. The method comprises the following steps of: pre-processing a Bayer image to acquire a first processed Bayer image; extracting and analyzing G components around R and G components around B in the first Bayer image, and acquiring a first threshold value; acquiring a first horizontal or vertical high-low mode, a second horizontal or vertical high-low mode, a horizontal or vertical fine line mode and an oblique angle high-low mode according to the first threshold value and the first Bayer image; correspondingly acquiring a first horizontal or vertical high-low edge, a second horizontal or vertical high-low edge, a horizontal or vertical fine line edge and an oblique angle high-low edge; performing G component interpolation on the first Bayer image according to the first horizontal or vertical high-low edge, the second horizontal or vertical high-low edge, the horizontal or vertical fine line edge and the oblique angle high-low edge; and interpolating the R components and the B components by adopting a color difference constant method, and acquiring a 24bit full-color image.

Description

technical field [0001] The invention relates to the field of graphics, in particular to a method for inserting image color components based on edge patterns. Background technique [0002] Due to the development of electronic technology, digital cameras are more and more favored by people, and people can use digital cameras to capture images of objects and store the captured images at any time. In the prior art, images are usually captured by CCD (Charge-Coupled Device, charge-coupled device) and CMOS (Complementary Metal Oxide Semiconductor, complementary metal oxide semiconductor). CFA (Color Filter Array, color filter array) is used in many digital cameras, arranged in front of CCD and CMOS to obtain color images, single CCD imaging system such as figure 1 shown. After the captured color image is subjected to CFA, it is down-sampled into a Bayer template matrix of three color components (R red component, G green component and B blue component), see figure 2 , the proce...

AI Technical Summary

Problems solved by technology

[0004] The image interpolation method in the prior art is better for smooth area interpolation, but there will be different degrees of distortion at the edge, mainly manifested as false color distortion and Zipper effect. Presence of color; the Zipper effect appears as jagged bumps in edge areas

The bilinear interpolation method based on single-channel spatial correlation will produce obvious false color distortion and Zipper effect at the edge; the false color distortion and Zipper effect of the ECI method are still obvious; the overall false color distortion area of ​​the Hamilton method is small, but Some local distortions are obvious; the area of ​​pseudo-color distortion in the Lu method is larger than that in the Hamilton method

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