Multi-source data implicit information fusion method

Abstract

The present invention provides a multi-source data implicit information fusion method. The implicit information fusion can be carried out on multi-source images and data without changing the image data size, the fused image looks like a common image and cannot see the data, but a legal receiver can extract other multi-source data from the fused image data in a lossless manner, meanwhile, image data can be recovered in a high-quality mode according to the preprocessed coding information, the PSNR value is obviously increased, and the typical value can reach 34-50 dB. According to the method, information hiding and multi-source data fusion are combined for processing, the typical fusion capacity can reach 50%, the problem that high-quality recovery of multi-source images and data is difficult in a traditional fusion method is solved, and the method is suitable for various image data fusion transmission systems.

Description

technical field [0001] The invention relates to a method for merging implicit information of multi-source data, in particular to a method for merging multi-source data into one image for fused transmission, and belongs to the field of communication (such as data communication technology, etc.). Background technique [0002] Multi-source information fusion is the theory and method of rationally using and processing multi-source information so as to make comprehensive use of information. The key problem to be solved by these theories and methods is to process multi-source information with similar or different feature patterns to obtain timely, accurate and integrated fusion information. In the process of traditional information fusion, information is public. It can be said that traditional information fusion only considers "visible" information (which can be called explicit information fusion), and does not consider "dark" information fusion (implicit fusion). Therefore, infor...

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Problems solved by technology

[0003] Traditional multi-source information fusion does not consider the transmission and information retention of multiple sources (images and other data), and is mainly used to solve the problem of integrating information from various sources into one source. Partial information from multiple sources, information from a single source itself is lost and cannot be recovered

However, in the satellite information fusion scenario, multiple source data on the satellite (high-resolution image data, low-resolution image data, other data, etc.) must be fused while maintaining the quality of multiple main source images, especially other When the source is irrelevant data, traditional information fusion methods cannot complete the task

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