Color image processing method and device based on interpolation and near infrared

Abstract

The invention discloses a color image processing method based on interpolation and near infrared. The method comprises the following steps: inputting a sensor source image and a near infrared image based on the same scene, processing the input images through grads difference sparseness constraint to obtain pixel information after grads difference sparseness constraint is performed, and obtaining pixel information after detail constraint is performed according to detail constraint among a plurality of unicolor channels corresponding to a plurality of unicolor channel images; calculating corresponding mean square error of each color image after detail constraint is performed; comparing a predetermined threshold and the mean square error of pixel information of a plurality of channels after detail constraint of two adjacent color images are performed, particularly, when the mean square error of the two adjacent color images is smaller than the predetermined threshold, an interpolation amalgamation image corresponding to each color image is generated according to pixel information of a plurality of channels after detail constraint is performed. The invention further discloses a color image processing device based on interpolation and near infrared. The invention can effectively meet the requirement of combination application of near infrared and visible light.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a method and device for color image processing based on interpolation and near-infrared. Background technique [0002] Ordinary single-chip digital cameras obtain color panel images by setting a color filter array (CFA, color filter array) in front of the imaging sensor (CCD, Charge-Coupled Device), and each pixel only captures a different color spectrum information , respectively corresponding to red (R), green (G) and blue (B). Then the color image is obtained by color interpolation method on the color panel image, this process is also called demosaic effect. Most silicon CCDs can sense spectral information from 200-1100nm. Generally, the spectrum wavelength range that human eyes can perceive is between 400 and 700 nm, and the spectrum in the wavelength range of 700-1100 nm belongs to the near infrared (NIR, Near Infrared) spectrum. Since the near-infrared spectrum is close to...

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Problems solved by technology

[0005] However, the main disadvantage of using the above traditional method is that the amount of calculation is huge. When performing alternate iterative interpolation constraints, observation constraints and detail constraints are required. The calculation is more complicated, there are many noise points, and the quality of the obtained image information is poor, so it cannot be used effectively. fast processing of color images, Figure 4 b represents the image effect after interpolation processing using the above traditional method

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