Testing of hardware implementation of infrared image enhancing algorithm

R. Dulski; T. Sosnowski; T. Piątkowski; P. Trzaskawka; M. Kastek; J. Kucharz

doi:10.1117/12.974536

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24 October 2012 Testing of hardware implementation of infrared image enhancing algorithm

R. Dulski; T. Sosnowski; T. Piątkowski; P. Trzaskawka; M. Kastek; J. Kucharz

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Proceedings Volume 8541, Electro-Optical and Infrared Systems: Technology and Applications IX; 85411F (2012) https://doi.org/10.1117/12.974536
Event: SPIE Security + Defence, 2012, Edinburgh, United Kingdom

Abstract

The interpretation of IR images depends on radiative properties of observed objects and surrounding scenery. Skills and experience of an observer itself are also of great importance. The solution to improve the effectiveness of observation is utilization of algorithm of image enhancing capable to improve the image quality and the same effectiveness of object detection. The paper presents results of testing the hardware implementation of IR image enhancing algorithm based on histogram processing. Main issue in hardware implementation of complex procedures for image enhancing algorithms is high computational cost. As a result implementation of complex algorithms using general purpose processors and software usually does not bring satisfactory results. Because of high efficiency requirements and the need of parallel operation, the ALTERA’s EP2C35F672 FPGA device was used. It provides sufficient processing speed combined with relatively low power consumption. A digital image processing and control module was designed and constructed around two main integrated circuits: a FPGA device and a microcontroller. Programmable FPGA device performs image data processing operations which requires considerable computing power. It also generates the control signals for array readout, performs NUC correction and bad pixel mapping, generates the control signals for display module and finally executes complex image processing algorithms. Implemented adaptive algorithm is based on plateau histogram equalization. Tests were performed on real IR images of different types of objects registered in different spectral bands. The simulations and laboratory experiments proved the correct operation of the designed system in executing the sophisticated image enhancement.

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R. Dulski, T. Sosnowski, T. Piątkowski, P. Trzaskawka, M. Kastek, and J. Kucharz "Testing of hardware implementation of infrared image enhancing algorithm", Proc. SPIE 8541, Electro-Optical and Infrared Systems: Technology and Applications IX, 85411F (24 October 2012); https://doi.org/10.1117/12.974536

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