Image pixel-class integrated processing method and device

Abstract

The invention is applicable to the field of image processing techniques, which provides an image fusion processing method at pixel level and a device thereof. The method of the invention comprises thefollowing steps that each component of a pixel-dot vector of a multi-component image is mapped into the force distributed on the periphery of a unit circle; a radial direction H of equivalent force of resultant moment of the center of the unit circle is calculated, and the equivalent force is corresponding to the component of the pixel-dot vector; degree of unbalancedness S of distribution of moment of force on the periphery of the unit circle is calculated, and the force is corresponding to the component of the pixel-dot vector; average strength V of force corresponding to the component of the pixel-dot vector is calculated; the calculated H, S and V are respectively mapped into the values of hue, saturation and intensity, and the mapped values of hue, saturation and intensity are respectively converted into R, G and B color vector of RGB-tricolor space. The method and the device of the invention realize that the multi component image is capable of being fused into a color image withthree components at pixel level by adopting a non-statistic technology, thus solving the problem of ignoring multi component pixel-dot information that is in a disadvantage position statistically ina fusion process of statistic fusion technology.

Description

Technical field [0001] The invention belongs to the technical field of image processing, and particularly relates to a method and device for image pixel-level fusion processing. Background technique [0002] Multi-component image refers to an image in which each pixel of the image can be expressed as a vector. Multi-component is the opposite of single-component. Multi-component is also called multi-color or multi-spectrum. Typical multi-component images include dual-band images, color images, and multi-spectral images. [0003] When the number of components of the pixel vector of the multi-component image is greater than 3, the human visual system cannot directly receive all the information in the multi-component image. In the prior art, in order to adapt to the human visual system, two methods are generally adopted: [0004] The first type of method selects 3 components each time for a multi-component image with components greater than 3, and maps them to the RGB three-color chann...

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Problems solved by technology

[0008] The purpose of the embodiments of the present invention is to provide an image pixel-level fusion processing method, which aims to solve the problem that the statistically disadvantaged multi-component pixel information is easily ignored in the existing statistical fusion technology

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