Scene-based self-adaptive heterogeneous-fixed-noise removal method

A non-uniform and self-adaptive technology, applied in image data processing, instrumentation, computing, etc., can solve problems such as fixed mode noise drift, scene ghosting, and no initialization method

Active Publication Date: 2014-11-26
INST OF OPTICS & ELECTRONICS - CHINESE ACAD OF SCI
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Problems solved by technology

Calibration-based non-uniform background noise removal algorithms, although these algorithms are simple, they cannot solve the problem of fixed pattern noise drift, and their adaptability is very limited
Although the scene-based adaptive non-uniform background noise removal algorithm can overcome the problem of bac

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[0029] The present invention describes a scene-based adaptive non-uniform fixed noise removal method, which can adapt to scene changes, does not produce ghost images, and has a fast algorithm convergence speed. Such as figure 1 As shown, the flowchart of the method is described. The following describes the specific implementation of the adaptive non-uniform fixed noise removal method, as follows:

[0030] (1) Scene initialization. In the present invention, scene initialization requires that there is no target of interest in the input image, which represents the beginning of the algorithm in the scene-based adaptive non-uniform fixed noise removal method. When the imaging parameters (integration time, aperture size, gain size, etc.) change, it is necessary to reinitialize the scene. In the implementation process, different background images can be stored for different imaging parameters for algorithm initialization. For example: corresponding to different integration time, ape...

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Abstract

The invention describes a scene-based self-adaptive heterogeneous-fixed-noise removal method which is characterized by being realized through the following steps: 1. determining scene initialization; 2.scene self-adaptive iteration; 3. scene template update; 4. image generation and output. The method is applicable to heterogeneous-fixed-noise removal. The method is capable of adapting to change of the scene without generating ghost images; and the convergence speed is high so that a convergence problem and a ghost image problem of the prior algorithms are solved.

Description

Technical field [0001] The present invention relates to the technical field of non-uniform noise removal, in particular to a scene-based adaptive non-uniform fixed noise removal method, which is an adaptive non-uniformity compensation method for removing fixed pattern noise on a focal plane array . Background technique [0002] In many applications, focal plane arrays are used to capture images. For example, in a target tracking system, an uncooled infrared camera is used to capture infrared images for tracking. The focal plane array includes infrared detection units arranged in a matrix. For example, some uncooled infrared cameras have 640*480 detection units, and each detection unit outputs one pixel. Due to manufacturing process and other reasons, the response rate of each detector unit is not exactly the same, and there are certain differences between them. For example, for the same incident radiation given by each detection unit, the output pixels of some detection units ...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 王辉周进雷涛
Owner INST OF OPTICS & ELECTRONICS - CHINESE ACAD OF SCI
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