Block sparse compressive sensing-based infrared image reconstruction method and system thereof

A compressed sensing and infrared image technology, applied in the field of infrared imaging, can solve problems such as poor reconstruction accuracy and low compression efficiency, and achieve the effects of reducing running time, improving compression efficiency, and improving reconstruction accuracy

Inactive Publication Date: 2017-05-10
SHENZHEN UNIV
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Problems solved by technology

[0005] In view of this, the purpose of the present invention is to provide an infrared image reconstruction method and system based on block sparse co...

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  • Block sparse compressive sensing-based infrared image reconstruction method and system thereof
  • Block sparse compressive sensing-based infrared image reconstruction method and system thereof
  • Block sparse compressive sensing-based infrared image reconstruction method and system thereof

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[0019] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0020] A method for reconstructing an infrared image based on block sparse compressed sensing provided by the present invention will be described in detail below.

[0021] see figure 1 , is a flowchart of an infrared image reconstruction method based on block sparse compressed sensing in an embodiment of the present invention.

[0022] In step S1, the block sparse representation step is to represent the continuous infrared small target image sequence as a signal with block sparse characteristics.

[0023] In this embodiment, the block sparse representation step S1 specifically includes:

[0024]...

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Abstract

The present invention provides a block sparse compressive sensing based infrared image reconstruction method the method comprises : the step of block sparse representation, the continuous infrared small target image sequence is shown having a block sparse characteristics of the signals; the time correlation modeling step in bayesian framework infrared small target for continuous the data between the image sequence for modeling time correlation; step of outputting a signal reconstruction, sparse learning algorithm is adopted to realize the reconstruction of the infrared small target image, and a final estimated value of the output signal of the present invention also provides a block sparse compressive sensing based infrared image reconstruction system. The technical scheme provided by the invention in the compressed sensing reconstruction process, utilizing a continuous signal in time correlation signals are reconstructed, the single frame signals can be improved, and the reconstruction accuracy significantly reduces the run time of the algorithm.

Description

technical field [0001] The invention relates to the field of infrared imaging, in particular to an infrared image reconstruction method and system based on block sparse compressed sensing. Background technique [0002] Infrared imaging technology has extensive and important applications in both military and civilian applications. With the development and popularization of infrared imaging technology, the network transmission of infrared images has become the basis of many applications, and it has also become the bottleneck of the development of these applications. [0003] How to improve the transmission efficiency of infrared images under the limited bandwidth has become an urgent problem to be solved to promote the application of infrared technology. Data compression technology based on Compressive Sensing (CS) is a new direction in the field of data compression in recent years. [0004] Judging from the current research at home and abroad, most of the applications of co...

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Application Information

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IPC IPC(8): G06T5/20
CPCG06T5/20G06T2207/10048H03M7/3062H04N19/176H04N19/136H04N19/90G06T5/50G06T2207/20081H04N5/33H04N19/85
Inventor 康莉梁润青黄建军黄敬雄
Owner SHENZHEN UNIV
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