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This paper presents a custom hardware architecture for fast, low-power super-resolution in infrared images. The architecture performs multiple-frame registration using the Lukas-Kanade optical flow algorithm with Gaussian pyramids, and uses a custom-designed reconstruction algorithm that generates a high-resolution image from multiple consecutive video frames with comparatively low computational cost...
We present a custom digital architecture that implements the Constant Range algorithm for nonuniformity correction of infrared focal plane arrays. This scene-based technique uses the statistics of the acquired video stream to compensate the gain and offset nonuniformity of the infrared imager online. We evaluate the performance of our architecture while processing raw infrared video at 60 frames per...
Despite recent technological advances which improve their performance and reduce their cost, Focal Plane Arrays for infrared imagers suffer from spatial nonuniformity that renders their output unusable unless a suitable correction method is applied. This paper describes an embedded hardware implementation of Scribner's algorithm for online nonuniformity correction. Our implementation on a Xilinx Spartan...
This paper presents a compact and low-power digital implementation of the Roughness Index, which provides an estimate of the fixed-pattern noise present in an infrared video stream. This noise is caused by imperfections in the fabrication of the focal plane array and its readout circuitry, in addition to other time-variant processes. The index is continuously used during normal operation of the imager...
Spatial and temporal nonuniformity in Infrared Focal Plane Arrays (IRFPA) severely degrades the quality of images obtained from modern infrared cameras. An efficient implementation of a nonuniformity correction algorithm is therefore necessary in real-time thermal-image visualization systems. This paper presents an FPGA-based implementation of the scene-based Constant Range algorithm for adaptive...
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