Image fusing method based on multidirectional gradient field

Abstract

The invention discloses a high-quality method for rapidly fusing a multi-spectrum image and a full-color image. The method comprises the following steps of: keeping detailed information of the full-color image through a multidirectional gradient operator and utilizing a lower sampling operator to keep multispectral color information, so as to obtain a multispectral image with a high resolution ratio. Furthermore, a complicated space domain is calculated and converted into a frequency domain through equivalent conversion; not only can the occupation of an internal memory of a computer be reduced, but also the operation complexity is reduced, so that real-time calculation can be realized. The high-quality method for rapidly fusing the multi-spectrum image and the full-color image, disclosed by the invention, solves the difficult problem that the existing image fusing method cannot simultaneously keep both detail information of the full-color image and detail information of the multi-spectrum image; and with the adoption of the method disclosed by the invention, the space resolution ratio and the spectral resolution ratio of the fused image are simultaneously optimized.

Description

technical field [0001] The invention belongs to the field of remote sensing image processing, in particular to a fusion method of a panchromatic image and a multi-spectral image based on a multi-directional gradient field. Background technique [0002] In the field of remote sensing image processing, for optical sensors, the spatial resolution and spectral resolution of images are a pair of contradictory factors. To obtain images with high spatial resolution you can only work with a single spectrum, and to obtain more spectra you have to reduce the spatial resolution. In order to improve the spatial resolution and spectral resolution of the image at the same time, it is proposed to use the fusion of panchromatic image (high spatial resolution single spectral image) and multispectral image (low spatial resolution) to obtain high spatial resolution multispectral image. method. Summarizing the existing image fusion methods, they can be divided into three categories: [0003]...

AI Technical Summary

Problems solved by technology

The implementation principle of the method based on color space conversion is simple, but there are two problems in this method based on color space conversion: (1) it is only suitable for three-channel image fusion; (2) although the brightness channel is directly replaced by a panchromatic image , but the hue channel and saturation channel are still simple upsampling of the original multispectral information, which will inevitably lead to the loss of spatial details

How to obtain high-quality high-resolution multispectral images from existing panchromatic images and multispectral images is still a challenging problem in the field of remote sensing image processing

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