Stray light compensation techniques for an infrared camera

Patent metadata

Field	Value
Publication number	US-9565371-B2
Application number	US-201414222539-A
Country	US
Kind code	B2
Filing date	Mar 21, 2014
Priority date	Sep 22, 2011
Publication date	Feb 7, 2017
Grant date	Feb 7, 2017

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 FPNest t0 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 FPNest t0 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.

First claim

What is claimed is:

1. A method comprising:
making a selection from an infrared (IR) image captured by an IR camera, wherein the selection from the IR image includes one or more lines, one or more points, or the whole of the captured IR image;
selecting, from each of a plurality of stored stray light images, a portion that corresponds to the selection from the IR image, wherein the stored stray light images were measured during production of the IR camera for at least two different camera temperatures against flat radiators and stored in a memory;
low-pass filtering the selection from the IR image;
matching the selection from the IR image against the corresponding selected portion of each stored stray light image by calculating a factor which makes the most points from the selection from the IR image and the selected portion of each stored stray light image coincide;
determining, as the matched one of the stored stray light images, the stray light image which contains the selected portion that best corresponds to the selection from the IR image;
obtaining a stray light map by multiplying the matched one of the stray light images by the calculated factor of the matched one of the stored stray light images; and
compensating the captured IR image using the obtained stray light map.

2. The method of claim 1 , further comprising eliminating points in the low-pass filtered selection from the IR image which deviate from stray light characteristics.

3. The method of claim 1 , wherein the selection from the IR image comprises two diagonal lines of the IR image.

4. The method of claim 1 , wherein the selection from the IR image comprises at least one horizontal line and at least one vertical line in the IR image.

5. The method of claim 1 , wherein the factor is calculated by means of a least squares method.

6. The method of claim 1 , further comprising:
obtaining an offset map by operating the IR camera against a defocused scene or against a spade;
high-pass filtering the offset map; and
compensating the captured IR image using a combined map of the offset map and the stray light map.

7. The method of claim 6 , wherein the offset map is generated during production of the IR camera for compensation of high-frequency noise in a detector of the IR camera.

8. The method of claim 1 , wherein the compensating the captured IR image is carried out in connection with offset calibration.

9. The method of claim 1 , wherein the compensating the captured IR image is carried out in combination with optical non-uniformity correction (NUC) against the defocused scene.

10. The method of claim 1 , wherein the compensating the captured IR image is carried out in combination with a spade-based NUC against the spade.

11. The method of claim 1 , wherein the stored stray light images were measured during production of the IR camera for at least three camera temperatures, one of which corresponding to room temperature, at least one of the camera temperatures being lower and at least one of the camera temperatures being higher than the room temperature.

Assignees

• Flir Systems Ab

Inventors

• Johansson Emanuel
• Larson Odd
• Olsson Stefan

Classifications

• G06T7/0002 Primary

  Inspection of images, e.g. flaw detection · CPC title

• H04N25/671 Primary

  for non-uniformity detection or correction · CPC title

• G06T2207/20048

  Transform domain processing · CPC title

• H04N23/72

  Combination of two or more compensation controls · CPC title

• H04N25/674

  based on the scene itself, e.g. defocusing · CPC title