Infrared degraded image adaptive restoration method
A degraded image and self-adaptive technology, applied in the field of image restoration, can solve the problems of difficult real-time implementation by hardware, large amount of computation, loss of detailed information, etc., and achieve the effect of easy real-time implementation by hardware, strong regularization ability, and small amount of algorithm computation.
Inactive Publication Date: 2014-02-26
THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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The existing infrared image restoration methods have the following disadvantages: (1) Most of the existing infrared image restoration methods are only suitable for input images with high SNR. Use the understanding and analysis of images by humans or machines; (2) Most existing infrared image restoration methods use the same regularization parameter to regularize the entire image, without using local feature information, resulting in the loss of a lot of detail information in the restoration process ; (3) Most of the existing image restoration methods have a large amount of computation and are not easy to realize in real time by hardware
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[0030] In conjunction with the accompanying drawings, the technical scheme of the present invention is described in detail below with examples:
[0031] The invention relates to an adaptive restoration method for infrared degraded images. The size of the focal plane array of an infrared thermal imager is 320×256, and the working frame frequency is 25 frames per second. The image processing platform adopts DSP+FPGA architecture, and the infrared degraded image adaptive restoration method is implemented in the DSP processor to meet the needs of real-time processing. The specific implementation steps are as follows:
[0032] (1) Get the input image I in ;
[0033] DSP processor input image I in It is a 14-bit digital image, and the image size is 320×256.
[0034] (2) Construct image degradation model A;
[0035] The image degradation model uses a Gaussian low-pass filter, the filter size is set to 5×5, and the standard deviation is 0.6, the expression of the filter matrix is ...
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The invention relates to an infrared degraded image adaptive restoration method. The infrared degraded image adaptive restoration method comprises the following steps that: (1) an input image I [in] is obtained; (2) an image degradation model A is constructed; (3) the information entropy of the image I [in] is calculated; (4) a regularization coefficient Lambda is calculated according to H; (5) an image I can be restored through iterative operation; and (6) an restored image I [out] is outputted. Compared with the prior art, the infrared degraded image adaptive restoration method of the invention has the following advantages that: (1) the infrared degraded image adaptive restoration method is especially designed for low signal-to-noise-ratio infrared images, and detail information can be effectively restored when noise is suppressed; (2) the regularization parameter can be calculated adaptively according to the information entropy of local regions of the image, and the infrared degraded image adaptive restoration method has a multi-scale restoring ability, and can realize a strong regularization ability for image smooth regions and a strong regularization ability for image detail regions; (3) the image degradation model can be flexibly constructed according to an actual degradation process; and (4) higher-order computation and complex structure do not exist, and the quantity of computation is small, and therefore, hardware real-time implementation is easy.
Description
technical field [0001] The invention designs an infrared degraded image self-adaptive restoration method, in particular to an image restoration method suitable for hardware real-time realization. Background technique [0002] In the process of infrared image acquisition, transmission and processing, due to the influence of factors such as atmospheric disturbance, poor focus of the optical system, relative movement of the scene and imaging device, etc., the quality of the obtained image decreases and the image becomes blurred. In order to obtain images with high signal-to-noise ratio and high definition, it is necessary to restore the degraded image according to the image degradation model. [0003] Image restoration is a basic and premise processing process in the field of image processing, and occupies an extremely important position in primary visual processing. Scholars at home and abroad attach great importance to the research in this area. According to the known prior ...
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IPC IPC(8): G06T5/00
Inventor 赵春光白俊奇郑坚
Owner THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP