Teledyne Flir Commercial Systems, Inc.

Flir Systems, Incorporated

Stephanie Lin

Nicholas Högasten

Julie R Moreira

Dylan M Rodriguez

Joseph Kostrzewa

Techniques for facilitating non-uniformity mitigation for imaging systems and methods are provided. In one example, a method includes cropping an image based on a defect in the image to obtain a cropped image. The method further includes cropping a supplemental flat field correction (SFFC) map based on the defect in the image to obtain a cropped SFFC map. The method further includes determining a scaling value of a scaling term based at least on a cost function. The method further includes scaling the SFFC map based on the scaling value to obtain a scaled SFFC map. Related devices and systems are also provided.

Image non-uniformity mitigation systems and methods

Various techniques are disclosed to provide for detection of temporally anomalous flickering pixels. In one example, a method includes capturing, by a thermal imager of an imaging device, a plurality of thermal images in response to infrared radiation received from a uniform black body, wherein the thermal images comprise a plurality of pixels having associated pixel values. The method also includes determining, for each pixel, a standard deviation of the associated pixel values for the thermal images. The method also includes comparing the standard deviations with a threshold. The method also includes identifying a subset of the pixels as temporally anomalous pixels in response to the comparing. Additional methods, devices, and systems are also provided.

Anomalous pixel detection systems and methods

Techniques are provided to identify, correct, and/or replace anomalous pixels. In one example, a method includes receiving an image frame comprising a plurality of pixels arranged in a plurality of rows and columns. The pixels comprise image data associated with a scene and fixed pattern noise introduced by an imaging device. The method also includes performing a first process on a first set of the pixels to determine associated correction terms configured to reduce the fixed pattern noise, and applying the correction terms to the first set of the pixels in response to the first process. The method also includes performing a second process on a second set of the pixels to determine whether to replace the second set of the pixels to reduce the fixed pattern noise, and replacing at least a subset of the second set of the pixels in response to the second process. Additional methods and systems are also provided.

Selective processing of anomalous pixels systems and methods

Various techniques are provided for reducing noise in captured image frames. In one example, a method includes determining row values for image frames comprising scene information and noise information. The method also includes performing first spectral transforms in a first domain on corresponding subsets of the row values to determine first spectral coefficients. The method also includes performing second spectral transforms in a second domain on corresponding subsets of the first spectral coefficients to determine second spectral coefficients. The method also includes selectively adjusting the second spectral coefficients. The method also includes determining row correction terms based on the adjusted second spectral coefficients to reduce the noise information of the image frames. Additional methods and systems are also provided.

Image noise reduction using spectral transforms

Various techniques are provided to combine visible and thermal image data. In one example, a method includes receiving visible image data and thermal image data for a scene. The method also includes extracting high spatial frequency content from the visible image data to provide filtered visible image data. The method also includes applying a corresponding gain to the filtered visible image data to provide weighted visible image data. The method also includes merging the weighted visible image data and the thermal image data to provide combined image data. Additional methods, systems, and other implementations are also provided.

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Buellton, CA, United States of America

Stephanie Lin