Abstract: Techniques are disclosed for image output responsive to integration time changes for infrared imaging devices. In one example, a system includes an imaging device configured to capture a first image using a first integration time and a second image using a second integration time different from the first integration time. The system further includes a processing circuit configured to determine the second integration time based at least on content of the first image. The processing circuit is further configured to determine a scale factor for the second integration time based on the first integration time and the second integration time. The processing circuit is further configured to scale the second image by the scale factor. Related methods and devices are also provided.

Abstract: Techniques are disclosed for image output responsive to integration time changes for infrared imaging devices. In one example, a system includes an imaging device configured to capture a first image using a first integration time and a second image using a second integration time different from the first integration time. The system further includes a processing circuit configured to determine the second integration time based at least on content of the first image. The processing circuit is further configured to determine a scale factor for the second integration time based on the first integration time and the second integration time. The processing circuit is further configured to scale the second image by the scale factor. Related methods and devices are also provided.

Abstract: Various techniques are provided for a stray light compensation method for an infrared (IR) camera. For example, a stray light compensation method includes: capturing an IR image of a scene by an IR camera, generating a fixed pattern noise estimate FPNestt0 for time t0 using the captured IR image and a stray light model associated with the IR camera, and performing a fixed pattern noise (FPN) compensation of the captured IR image based on said FPNestt0 to obtain a stray light compensated IR image. The fixed pattern noise estimate may be generated through operations in a frequency domain representation of the captured IR image and the stray light model according to one or more embodiments.

Abstract: Various techniques are provided for a stray light compensation method for an infrared (IR) camera. For example, a stray light compensation method includes: capturing an IR image of a scene by an IR camera, generating a fixed pattern noise estimate FPNestt0 for time t0 using the captured IR image and a stray light model associated with the IR camera, and performing a fixed pattern noise (FPN) compensation of the captured IR image based on said FPNestt0 to obtain a stray light compensated IR image. The fixed pattern noise estimate may be generated through operations in a frequency domain representation of the captured IR image and the stray light model according to one or more embodiments.

Abstract: The invention relates to a procedure for mapping when capturing video streams by means of a camera, such as an IR camera, as well as to a computer program and a computer program product.

Abstract: Various techniques are provided for a stray light compensation method for an infrared (IR) camera. For example, a stray light compensation method includes: capturing an IR image of a scene by an IR camera, generating a fixed pattern noise estimate FPNestt0 for time t0 using the captured IR image and a stray light model associated with the IR camera, and performing a fixed pattern noise (FPN) compensation of the captured IR image based on said FPNestt0 to obtain a stray light compensated IR image. The fixed pattern noise estimate may be generated through operations in a frequency domain representation of the captured IR image and the stray light model according to one or more embodiments.

Abstract: The invention relates to a method for compensating motion blur in connection with vibrations in an image recording apparatus (1), such as a camera, for stabilization of recorded images, wherein use is made of a reference image. According to the invention, a frame (2) of a recorded image is selected for image stabilization and the degree of sharpness (3) in the selected frame is evaluated and compared (5) with a previously saved reference value (4) for the degree of sharpness for a previously selected frame. The last chosen frame is used to update (6) a video sequence and the degree of the sharpness for the last chosen frame is saved (7) as a new reference value if the degree of sharpness for the last chosen frame is deemed to be better (5) than or equally as good as the reference value for the degree of sharpness for a previously selected frame.

Abstract: The invention relates to a procedure for mapping when capturing video streams by means of a camera, such as an IR camera, as well as to a computer program and a computer program product.

Abstract: The invention relates to a method for compensating motion blur in connection with vibrations in an image recording apparatus (1), such as a camera, for stabilization of recorded images, wherein use is made of a reference image. According to the invention, a frame (2) of a recorded image is selected for image stabilization and the degree of sharpness (3) in the selected frame is evaluated and compared (5) with a previously saved reference value (4) for the degree of sharpness for a previously selected frame. The last chosen frame is used to update (6) a video sequence and the degree of the sharpness for the last chosen frame is saved (7) as a new reference value if the degree of sharpness for the last chosen frame is deemed to be better (5) than or equally as good as the reference value for the degree of sharpness for a previously selected frame.

Abstract: Various techniques are provided for a stray light compensation method for an infrared (IR) camera. For example, a stray light compensation method includes: capturing an IR image of a scene by an IR camera, generating a fixed pattern noise estimate FPNestt0 for time t0 using the captured IR image and a stray light model associated with the IR camera, and performing a fixed pattern noise (FPN) compensation of the captured IR image based on said FPNestt0 to obtain a stray light compensated IR image. The fixed pattern noise estimate may be generated through operations in a frequency domain representation of the captured IR image and the stray light model according to one or more embodiments.