Image processing device, image processing method, and program

Abstract

The invention relates to an image processing device, an image processing method and a program. The image processing device includes a data conversion processing unit that receives an input of an RGBW array image and generates an RGB array image as an output image. The data conversion processing unit includes a pixel interpolation unit that calculates interpolated pixel values corresponding to an array of the RGB array image by performing a pixel interpolation process on the RGBW array image, a purple fringe detection unit that detects whether each pixel is a purple fringe pixel by analyzing the RGBW array image, a corrected value calculation unit that calculates corrected pixel values by correcting pixel values of the purple fringe pixels, and a blend processing unit that calculates constituent pixel values RGB of the output image by performing a blend process of blending the interpolated pixel values calculated by the pixel interpolation unit with the corrected pixel values calculated by the corrected value calculation unit.

Description

technical field [0001] The present disclosure relates to an image processing device, an image processing method, and a program, and more particularly, to an image processing device, an image processing method, and a program capable of performing correction processing for false colors generated in images captured by a camera. Background technique [0002] In the image captured by the camera, the problem of aberration of the camera lens appears in some cases. Specifically, for example, chromatic aberration is a kind of aberration caused by the influence of lens aberration. When the refractive index of light in an imaging lens of a camera differs according to wavelength, chromatic aberration occurs, and false colors are caused on an imaging surface. [0003] Known as representative examples of chromatic aberrations: For example, axial chromatic aberration in which chromatic blur occurs because the focus position on the optical axis differs depending on the wavelength, and colo...

AI Technical Summary

Problems solved by technology

[0017] However, the disclosed process is only for those used in cameras according to the prior art figure 2 Processing performed on the Bayer array image of the pixel array shown in (a)

[0018] On the other hand, in recent years, there has been a problem that as the pixel density of the image sensor increases, the amount of incident light per pixel decreases, and thus the relative noise increases

[0020] The prior art does not disclose the technology of removing the purple fringing in the mosaic image captured by the image sensor having such an RGBW array

In addition, there is a problem that the correction process for the RGB array previously disclosed in the prior art cannot be directly applied

Images