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Method for achieving three-path image pyramid fusion algorithm based on DM642

A DM642, image pyramid technology, applied in image enhancement, image data processing, calculation, etc.

Inactive Publication Date: 2015-02-25
BEIJING INST OF ENVIRONMENTAL FEATURES
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Problems solved by technology

[0005] In order to solve the problem that there is no fusion algorithm that can directly and effectively implement three-way images in the prior art, the present invention provides a method for implementing a three-way image pyramid fusion algorithm based on DM642, through which medium-wave infrared and long-wave infrared And visible light three-way image fusion processing function, and this method can also be used for two-way fusion processing of three modes of infrared medium wave / long wave, infrared medium wave / visible, infrared long wave / visible

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  • Method for achieving three-path image pyramid fusion algorithm based on DM642
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  • Method for achieving three-path image pyramid fusion algorithm based on DM642

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[0044] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0045] Such as figure 1 The implementation method flowchart of the three-way image pyramid fusion algorithm based on DM642 provided by the embodiment of the present invention, as figure 1 As shown in , the method includes the following steps:

[0046] S1: Collect the current frame image of the three-way sensor in real time and cache it in the DM642; among them, the DM642 of Texas Instruments can be selected as the DM642.

[0047] S2: Construct the Gaussian pyramid image of the current frame image of the currently cached three-way sensor respectively.

[0048] S3: Based on the Gaussian pyramid images of the current frame images of the three sensors, respectively construct the Laplacian pyramid images of the current frame images of the three sensors.

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Abstract

The invention provides a method for achieving a three-path image pyramid fusion algorithm based on DM642 and relates to the technical field of photoelectric picture processing. The method is used for solving the problem that no algorithm effectively and directly fusing three paths of images exists in the prior art. The method comprises the steps: collecting current frame images of three paths of sensors cache the current frame images in DM64 in real time; respectively constructing gaussian pyramid images of the currently cached frame images of the three paths of sensors of the current cache; respectively constructing laplacian pyramid images of the current frame images of the three paths of sensors; fusing the corresponding levels of the laplacian pyramid images of the current frame images of the three paths of sensors to obtain a fusion image laplacian pyramid; carrying out reconstruction operation on the fusion image laplacian pyramid. In the scheme, on the basis of DM642 software and hardware resources, the laplacian pyramid fusion of the three paths of images, particularly medium wave infrared images, long wave infrared images and visible light images is achieved in real time.

Description

technical field [0001] The invention relates to the technical field of photoelectric image processing, in particular to a method for realizing a DM642-based three-way image pyramid fusion algorithm. Background technique [0002] Image fusion is to use a certain algorithm to synthesize and process two or more different images, and finally form a new image. Its purpose is to obtain a more accurate, comprehensive and reliable image description of the same scene / object by extracting and synthesizing information from multiple images. According to the different stages of fusion processing, image fusion can be divided into three levels: pixel-level, feature-level and decision-level fusion. Pixel-level image fusion refers to the process of directly integrating information on the pixels of each image. Feature-level image fusion is a process of comprehensively processing information such as edges, shapes, and contours after feature extraction of images. Before performing decision-l...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50
Inventor 宋亚军杨舒
Owner BEIJING INST OF ENVIRONMENTAL FEATURES
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