High frame frequency infrared image sequence movement target real time restoration method

Abstract

The present invention discloses a real-time recovery method of moving-target in high frame frequency infrared image sequence. The method includes steps as follows: inputting high frame frequency infrared image frame, confirming sporting direction and distance parameter of moving-target in image frame, processing median filtering in sporting direction, confirming membership degree of seed pixel andneighborhood pixel according with given membership degree function, confirming pixel value of seed pixel according with judgement criterion, outputting image frame recoveried by moving. The method reduces noise effect by median filtering to input image sequence; has no strict request for size and moving speed of target, and has efficient in working; the median filtering, convolution operation andconfirming membership degree operation of seed pixel and neighborhood pixel are processed in air space, and not need global properties of noise which makes arithmetic simply, no ringing effect and hardware realized real-time.

Description

1. Technical field [0001] The invention belongs to the real-time recovery technology of an infrared moving target, in particular to a real-time recovery method for a moving target in a high-frame-frequency staring infrared imaging system when the target and a detector move relatively at high speed. 2. Background technology [0002] With the development of materials and technology, infrared detection devices have been widely used in national defense, industry and civilian fields. In the observation of dynamic scenes, especially those with fast motion, it has become a development trend to use high frame rate staring infrared focal plane imaging arrays. [0003] One of the key problems of high frame rate staring infrared imaging system is the smearing phenomenon. The smearing is caused by the fact that the photosensitive element is still generating photocharges during the vertical transfer process from the photosensitive area of ​​the detector to the charge storage area, and i...

AI Technical Summary

Problems solved by technology

For motion degradation, the existing literature generally adopts the linear motion blur model, the difference is that the statistical characteristics of the noise used are different

When using these restoration methods for the restoration of moving targets in high frame rate infrared focal plane detector imaging, there are the following disadvantages: (1) Due to the very short integration time of the high frame rate detector, the original contrast of the infrared image is directly caused , The disadvantage of low signal-to-noise ratio is more prominent, and the restoration effect of the above several technologies is not good in the case of noise; (2) These algorithms are generally frequency-domain filtering, which is prone to ringing effects, that is, the restored image has periodicity Vertical stripes; (3) The most important thing is that these algorithms generally require the global characteristics of the image or noise, the amount of calculation is large, and it is difficult to achieve hardware real-time

Images