Method for strengthening infrared focal plane array image

Abstract

The invention discloses a method for strengthening an infrared focal plane array image, pertains to the field of infrared focal plane detector, particularly relates to the hardware realization of a specified image processing algorithm, and aims at extending image gray value and increasing computerization speed under the condition of limited FPGA storage resource. The method comprises the steps of median filtering, sub-point access and sub-section extension. The median filter adopted by the method eliminates spiced salt noise in the image and the sub-section extension effectively strengthens the detailed part of the dark image area. The algorithm requires no external memory, has low requirement for the FPGA storage resource and good real-time property and can effectively fit the high requirement of the infrared focal plane detector to image strengthening processing.

Description

technical field [0001] The invention belongs to the field of infrared focal plane detectors, in particular to an infrared focal plane array image enhancement method. Background technique [0002] Infrared imaging systems have evolved with the development of infrared detectors. In the first generation of infrared imaging systems, linear detectors are used to realize imaging through one-dimensional optical-mechanical scanning. With the maturity of CCD (Charge Coupled Device, electrically coupled device) related technologies, in the mid-1970s, the appearance of IRFPA (Infrared Focal Plane Array, infrared focal plane array) detector marked the second generation of infrared imaging system - staring The birth of the infrared imaging system. Compared with linear detectors, focal plane detector imaging has the advantages of high spatial resolution, strong detection capability, and high frame rate, and is rapidly becoming the mainstream device of infrared imaging technology. At pr...

AI Technical Summary

Problems solved by technology

However, histogram statistics usually require a storage space of about a whole image, such as the article "FPGA Realization of Histogram Equalization of Video Image Gray Signal Signal" in "Application of Electronic Technology" No. 11, 2006. The advantage is that histogram equalization It can play a good role in image enhancement, but the disadvantage is that it does not solve the problem that the histogram statistics need to consume a lot of storage resources, but simply expands a piece of SDRAM outside the FPGA for histogram statistics, which increases the cost and reduces the cost. system integration

Its advantage is that it does not need to cache the entire image, and has low requirements for storage resources, but its algorithm for inter-frame iteration is low in efficiency, and can only obtain the maximum and minimum values ​​in the image, and the stretching flexibility is very low

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