WO2014070062A1 - Procedure for mapping when capturing video streams by means of a camera - Google Patents
Procedure for mapping when capturing video streams by means of a camera Download PDFInfo
- Publication number
- WO2014070062A1 WO2014070062A1 PCT/SE2013/000166 SE2013000166W WO2014070062A1 WO 2014070062 A1 WO2014070062 A1 WO 2014070062A1 SE 2013000166 W SE2013000166 W SE 2013000166W WO 2014070062 A1 WO2014070062 A1 WO 2014070062A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- integration time
- map
- procedure
- block
- compensation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Ceased
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/002—Diagnosis, testing or measuring for television systems or their details for television cameras
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/80—Calibration
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/90—Testing, inspecting or checking operation of radiation pyrometers
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/20—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from infrared radiation only
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/60—Noise processing, e.g. detecting, correcting, reducing or removing noise
- H04N25/67—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response
- H04N25/671—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response for non-uniformity detection or correction
Definitions
- the present 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.
- FPA contained in a camera can vary quite considerably as a function of the irradiated effect. Sensor elements thus require to be calibrated with one another.
- the sensor elements contained in a sensor in an IR camera do not behave in the same way, for example, but exhibit variations in gain and offset.
- gain maps and offset maps are recorded and stored in production.
- gain map corrections are made during operation for variations in gain in the individual sensor elements in a sensor.
- the offset map is used correspondingly to shift the sensor signals of the constituent sensor elements in parallel during operation, so that the gain curves of the detectors substantially coincide.
- Cameras of the IR type have traditionally made use of a plurality of fixed integration times to cover the camera's dynamic range. Every such fixed position has been provided with its own maps.
- the disadvantage of fixed integration times is that deviations in the image quality are necessary in order to be able to cover a particular dynamic range, since the image quality is optimized only at a single scene
- the object of the present invention is to make available a procedure which adapts the integration time dynamically on the basis of the scene content in order to achieve maximum quality in every scene without the need for constant updates of maps by NUC processing and without having to store maps for a large number of fixed integration times.
- the object of the invention is accomplished by a procedure that is characterized: a) in that at least two reference images are recorded in production against a black- body radiator at the same temperature for two or more separate integration times, b) in that, in conjunction with the updating of an offset map, details of the integration time for which the offset map has been updated are stored,
- the compensation map is advantageously standardized before addition by deducting the mean value of the compensation map from all the pixels for centring of the compensation map around zero.
- the reference images can be standardized before the interpolation takes place by deducting the mean value of the reference image from all the pixels for centring of the reference image around zero.
- specifically two reference images are recorded in production against a black-body radiator at the same temperature for two separate integration times.
- the reference images can suitably be taken for integration times within the millisecond range and with a difference in the integration time in the order of 10 milliseconds.
- the invention also relates to a computer program comprising program code, which, when the said program code is executed in a computer, causes the said computer to carry out the procedure as described above in order to accomplish the object of the invention, as well as to a computer program product comprising a computer-readable medium and a computer program as described above, the said computer program being included in the said computer-readable medium.
- Figure 1 depicts schematically an example of a curve which shows the scene temperature as a function of the integration time for optimized image quality.
- Figure 2 depicts schematically an example in the form of a block diagram of the principles for mapping according to the procedure of the invention.
- Figure 3 depicts schematically an example of a curve which shows the signal per pixel as a function of the integration time for a pixel which has undergone the mapping according to the procedure of the invention.
- the curve 1 depicted in Figure 1 depicts an example of the scene temperature T as a function of the integration time t for optimized image quality.
- Two fixed integration times ti and t 2 are plotted in the Figure.
- an individual map is connected to each integration time.
- a shift will take place from the integration times for which the maps were produced, and low-frequency unevennesses of the image will occur as a result.
- compensation maps are generated which offer relevant mapping along the scene temperature curve between fixed references.
- An incoming video stream is available through a block 2.
- the stream can be supplied from the sensor part of an IR camera, the said sensor part comprising, for example, one or a plurality of focal plane arrays.
- the actual integration time for the video stream is designated with t p .
- a block 3 marks the availability of two reference images taken in production. The images have been taken on a black-body radiator at the same temperature for two different integration times.
- the first reference image is designated here as B re n and was taken with an integration time t refl , which in one example here can amount to 3 ms.
- the other reference image is designated as B re f2 and was taken with an integration time t re f2, which in the example here can amount to 14 ms.
- the reference image B re n is marked as being stored in block 4
- reference image B re f2 is marked as being stored in block 5.
- NUC non uniformity correction.
- a block 6 indicates this NUC process. In this NUC process, the integration time, t nU c, with which the NUC process was carried out is saved in addition to the most recent map. The block 6 thus provides both the most recent map and the most recent integration time t nuc .
- a block 7 manages the choice of the next reference image. If
- reference image B re n is selected because it lies closest to the new actual integration time t p . Otherwise, reference image B re f2 is selected because it is then considered to lie closest to the new actual integration time t p .
- the actual integration time t p is compared with the integration time t nuc from the most recent NUC, and the reference which lies closest to the new actual integration time t p is selected as a reference image and is provided by the block 7.
- a compensation per pixel is calculated by linear interpolation between the selected reference image, either reference image B re n or B re e, and the map from the most recent NUC. The result of the calculation is a map that is referred to in this description as a compensation map.
- a block 9 undertakes standardization of the correction map before it is added via an adder 10 to the incoming video stream from the block 2 in order to deliver a video stream through a block 11.
- the output video stream can be connected, for example, to a display for presentation or to a memory medium for storage.
- a display and a memory medium are not shown in the Figure.
- standardization of the reference image can be undertaken before interpolation, and two possible positions of a block for the standardization of reference image B re n are indicated with dashed blocks 13 and 15 in Figure 2.
- Two dashed blocks 14 and 15 likewise indicate two possible positions of a block for the standardization of reference image B re -
- the result of linear interpolation per pixel is illustrated schematically in Figure 3.
- the signal S per pixel is shown on the curve 12 as a function of the integration time t.
- the integration times t re n and t re f2 for the reference images B re n and B re f2 are plotted along the time axis t together with the integration time t nuc for the most recent NUC.
- the actual integration time t p is plotted in addition.
- reference image B re n is closer to the actual integration time t p than reference image B re f2-
- a linear interpolation is made between the reference image B re n with an integration time t re fi and the map from the most recent NUC with an integration time t nuc -
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Image Processing (AREA)
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. According to the procedure the following items are included: a) at least two reference images are recorded in production against a black-body radiator at the same temperature for two or more separate integration times (block 3), b) in conjunction with the updating of an offset map, details of the integration time for which the offset map has been updated are stored (block 6), c) during operation, the actual integration time is compared with the integration time for the most recent updating of the offset map (block 8), d) the recorded reference image which lies closest to the actual integration time is selected as a reference (block 7), and e) a compensation per pixel for the change in the integration time is calculated by linear interpolation between the selected reference image and the most recently updated offset map, resulting in a compensation map (block 8). The integration time can be adapted dynamically by the procedure with access to adequate maps for correction of the offset of constituent pixels.
Description
Procedure for mapping when capturing video streams by means of a camera
Technical Field
The present 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.
Background The output signal from sensor elements in a sensor, such as a focal plane array, IR
FPA, contained in a camera can vary quite considerably as a function of the irradiated effect. Sensor elements thus require to be calibrated with one another. The sensor elements contained in a sensor in an IR camera do not behave in the same way, for example, but exhibit variations in gain and offset. In order to manage these variations, so-called gain maps and offset maps are recorded and stored in production. With the help of the gain map, corrections are made during operation for variations in gain in the individual sensor elements in a sensor. The offset map is used correspondingly to shift the sensor signals of the constituent sensor elements in parallel during operation, so that the gain curves of the detectors substantially coincide. To further illustrate the principles behind gain and offset mapping, reference is made to our published US Patent Application US 2011/0164139 Al .
Cameras of the IR type have traditionally made use of a plurality of fixed integration times to cover the camera's dynamic range. Every such fixed position has been provided with its own maps. The disadvantage of fixed integration times is that deviations in the image quality are necessary in order to be able to cover a particular dynamic range, since the image quality is optimized only at a single scene
temperature. Several fixed integration time positions have been introduced in order to increase the image quality, which improves the image quality at the expense of higher complexity but still does not fully cover optimal integration time positions.
An alternative to fixed integration times is to change the integration time dynamically. One disadvantage associated with this is that it involves making a shift away from the integration time which was relevant at the time when the maps were made. This shift away from the integration time at the time when the maps were made gives rise to a low-frequency unevenness of the image. An extra spatial fixed-pattern noise is generated and is visible in low-contrast scenes. A previously known solution to this has been to permit the integration time to be changed only in conjunction with the offset map being updated by a so-called NUC, non uniformity correction. In order for it to function adequately, the solution requires an NUC to be performed as soon as the scene has changed significantly, for example when panning.
For an example of the prior art where the integration time is changed, reference can be made to WO 2008/1071 17 Al, which describes a procedure for changing the integration time depending on the temperature of an IR sensor.
Summary of the invention
The object of the present invention is to make available a procedure which adapts the integration time dynamically on the basis of the scene content in order to achieve maximum quality in every scene without the need for constant updates of maps by NUC processing and without having to store maps for a large number of fixed integration times.
The object of the invention is accomplished by a procedure that is characterized: a) in that at least two reference images are recorded in production against a black- body radiator at the same temperature for two or more separate integration times, b) in that, in conjunction with the updating of an offset map, details of the integration time for which the offset map has been updated are stored,
c) in that, during operation, the actual integration time is compared with the integration time for the most recent updating of the offset map,
d) in that the recorded reference image which lies closest to the actual integration time is selected as a reference,
e) in that a compensation per pixel for the change in the integration time is calculated by linear interpolation between the selected reference image and the most recently updated offset map, resulting in a compensation map, and
f) in that the compensation map is added to an incoming video image.
The use of reference images, the most recent updating of the offset map and its integration time, as well as linear interpolation, permits a compensation map to be created which corresponds closely to the actual integration time. The procedure permits the integration time to be changed continuously and entirely automatically without needing to undergo a further NUC process.
The compensation map is advantageously standardized before addition by deducting the mean value of the compensation map from all the pixels for centring of the compensation map around zero.
Alternatively, the reference images can be standardized before the interpolation takes place by deducting the mean value of the reference image from all the pixels for centring of the reference image around zero. According to an advantageous procedure, specifically two reference images are recorded in production against a black-body radiator at the same temperature for two separate integration times. By restricting the number of reference images to two, the mapping process can be kept relatively simple from the point of view of storage and calculation.
According to the proposed procedure, the reference images can suitably be taken for integration times within the millisecond range and with a difference in the integration time in the order of 10 milliseconds. The invention also relates to a computer program comprising program code, which, when the said program code is executed in a computer, causes the said computer to carry out the procedure as described above in order to accomplish the object of the invention, as well as to a computer program product comprising a computer-readable
medium and a computer program as described above, the said computer program being included in the said computer-readable medium.
Brief Description of the Drawings
The invention is described below in more detail by way of example with reference to the accompanying drawings, in which:
Figure 1 depicts schematically an example of a curve which shows the scene temperature as a function of the integration time for optimized image quality.
Figure 2 depicts schematically an example in the form of a block diagram of the principles for mapping according to the procedure of the invention. Figure 3 depicts schematically an example of a curve which shows the signal per pixel as a function of the integration time for a pixel which has undergone the mapping according to the procedure of the invention.
Detailed Description of the Embodiment
The curve 1 depicted in Figure 1 depicts an example of the scene temperature T as a function of the integration time t for optimized image quality. Two fixed integration times ti and t2 are plotted in the Figure. According to the known method, an individual map is connected to each integration time. In the event that another suitable integration time is used, a shift will take place from the integration times for which the maps were produced, and low-frequency unevennesses of the image will occur as a result. According to the proposed procedure for mapping, which is described in more detail with reference to Figure 2, compensation maps are generated which offer relevant mapping along the scene temperature curve between fixed references.
The principles for mapping according to the procedure of the invention are now described with reference to Figure 2.
An incoming video stream is available through a block 2. The stream can be supplied from the sensor part of an IR camera, the said sensor part comprising, for example, one or a plurality of focal plane arrays. The actual integration time for the video stream is designated with tp.
A block 3 marks the availability of two reference images taken in production. The images have been taken on a black-body radiator at the same temperature for two different integration times. The first reference image is designated here as Bren and was taken with an integration time trefl, which in one example here can amount to 3 ms. The other reference image is designated as Bref2 and was taken with an integration time tref2, which in the example here can amount to 14 ms. The reference image Bren is marked as being stored in block 4, while reference image Bref2 is marked as being stored in block 5. During the operation of an IR camera, calibrations of the camera are performed during a known process known as NUC, non uniformity correction. A block 6 indicates this NUC process. In this NUC process, the integration time, tnUc, with which the NUC process was carried out is saved in addition to the most recent map. The block 6 thus provides both the most recent map and the most recent integration time tnuc.
A block 7 manages the choice of the next reference image. If
I trefl - tp| < I tref2 - tp I, reference image Bren is selected because it lies closest to the new actual integration time tp. Otherwise, reference image Bref2 is selected because it is then considered to lie closest to the new actual integration time tp.
If the integration time is to be changed, the actual integration time tp is compared with the integration time tnuc from the most recent NUC, and the reference which lies closest to the new actual integration time tp is selected as a reference image and is provided by the block 7.
In the block 8, a compensation per pixel is calculated by linear interpolation between the selected reference image, either reference image Bren or Bree, and the map from the most recent NUC. The result of the calculation is a map that is referred to in this description as a compensation map. A block 9 undertakes standardization of the correction map before it is added via an adder 10 to the incoming video stream from the block 2 in order to deliver a video stream through a block 11. The output video stream can be connected, for example, to a display for presentation or to a memory medium for storage. A display and a memory medium are not shown in the Figure. Alternatively, standardization of the reference image can be undertaken before interpolation, and two possible positions of a block for the standardization of reference image Bren are indicated with dashed blocks 13 and 15 in Figure 2. Two dashed blocks 14 and 15 likewise indicate two possible positions of a block for the standardization of reference image Bre -
The result of linear interpolation per pixel is illustrated schematically in Figure 3. The signal S per pixel is shown on the curve 12 as a function of the integration time t. The integration times tren and tref2 for the reference images Bren and Bref2 are plotted along the time axis t together with the integration time tnuc for the most recent NUC. The actual integration time tp is plotted in addition. In the illustrated example, reference image Bren is closer to the actual integration time tp than reference image Bref2- In line with what has been described with reference to the block 8 in Figure 2, a linear interpolation is made between the reference image Bren with an integration time trefi and the map from the most recent NUC with an integration time tnuc-
The invention is described above with reference to a schematic block structure depicted in Figure 2. This description must be regarded only as an explanation of the fundamental structure. The execution of the described functions can be performed in many ways within the framework of the invention, and attention is brought particularly to the use of a computer program for the implementation of the functions.
The invention is not restricted to the procedures described above as examples, but may be subjected to modifications within the scope of the following patent claims.
Claims
1. Procedure for mapping when capturing video streams by means of a camera, such as an IR camera, characterized
a) in that at least two reference images are recorded in production against a black- body radiator at the same temperature for two or more separate integration times, b) in that, in conjunction with the updating of an offset map, details of the integration time for which the offset map has been updated are stored,
c) in that, during operation, the actual integration time is compared with the integration time for the most recent updating of the offset map,
d) in that the recorded reference image which lies closest to the actual integration time is selected as a reference,
e) in that a compensation per pixel for the change in the integration time is calculated by linear interpolation between the selected reference image and the most recently updated offset map, resulting in a compensation map, and
f) in that the compensation map is added to an incoming video image.
2. Procedure according to Patent Claim 1, characterized in that the
compensation map is standardized before addition by deducting the mean value of the compensation map from all the pixels for centring of the compensation map around zero.
3. Procedure according to Patent Claim 1, characterized in that the reference images are standardized before the interpolation takes place by deducting the mean value of the reference images from all the pixels for centring of the reference image around zero.
4. Procedure according to one of the preceding patent claims, characterized in that two reference images are recorded in production against a black-body radiator at the same temperature for two different integration times.
5. Procedure according to one of the preceding patent claims, characterized in that the reference images are taken for integration times within the millisecond range and with a difference in the integration time in the order of 10 milliseconds.
6. Computer program comprising program code, which, when the said program code is executed in a computer, causes the said computer to carry out the procedure according to one of Patent Claims 1-4.
7. Computer program product comprising a computer-readable medium and a computer program according to Patent Claim 6, the said computer program being included in the said computer-readable medium.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US14/439,941 US9648253B2 (en) | 2012-11-01 | 2013-10-30 | Procedure for mapping when capturing video streams by means of a camera |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| SE1230112A SE536679C2 (en) | 2012-11-01 | 2012-11-01 | Procedure for mapping when recording video streams by camera |
| SE1230112-3 | 2012-11-01 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2014070062A1 true WO2014070062A1 (en) | 2014-05-08 |
Family
ID=50627795
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/SE2013/000166 Ceased WO2014070062A1 (en) | 2012-11-01 | 2013-10-30 | Procedure for mapping when capturing video streams by means of a camera |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US9648253B2 (en) |
| SE (1) | SE536679C2 (en) |
| WO (1) | WO2014070062A1 (en) |
Families Citing this family (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11659292B2 (en) | 2017-12-29 | 2023-05-23 | FLIR Systemes AB | Image output adjustment responsive to integration time changes for infrared imaging devices |
| US10926855B2 (en) | 2018-11-01 | 2021-02-23 | Brunswick Corporation | Methods and systems for controlling low-speed propulsion of a marine vessel |
| US11198494B2 (en) | 2018-11-01 | 2021-12-14 | Brunswick Corporation | Methods and systems for controlling propulsion of a marine vessel to enhance proximity sensing in a marine environment |
| US11794865B1 (en) | 2018-11-21 | 2023-10-24 | Brunswick Corporation | Proximity sensing system and method for a marine vessel |
| US11443637B2 (en) | 2018-11-21 | 2022-09-13 | Brunswick Corporation | Proximity sensing system and method for a marine vessel |
| US11436927B2 (en) | 2018-11-21 | 2022-09-06 | Brunswick Corporation | Proximity sensing system and method for a marine vessel with automated proximity sensor location estimation |
| US11403955B2 (en) | 2018-12-14 | 2022-08-02 | Brunswick Corporation | Marine propulsion control system and method with proximity-based velocity limiting |
| US11373537B2 (en) | 2018-12-21 | 2022-06-28 | Brunswick Corporation | Marine propulsion control system and method with collision avoidance override |
| US11257378B2 (en) | 2019-01-31 | 2022-02-22 | Brunswick Corporation | Marine propulsion control system and method |
| US11702178B2 (en) | 2019-01-31 | 2023-07-18 | Brunswick Corporation | Marine propulsion control system, method, and user interface for marine vessel docking and launch |
| FR3139261B1 (en) * | 2022-08-29 | 2025-05-16 | Safran Electronics & Defense | Method of using an infrared camera |
| US12559217B1 (en) | 2024-01-03 | 2026-02-24 | Brunswick Corporation | Marine propulsion control systems and methods with buffer zone adaptation |
| US12457420B1 (en) | 2024-02-05 | 2025-10-28 | Brunswick Corporation | Systems and methods for adjusting a field of view of a vision system on a marine vessel |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0601534A1 (en) * | 1992-12-07 | 1994-06-15 | Hughes Aircraft Company | Wide dynamic range non-uniformity compensation for infrared focal plane arrays |
| US20030183765A1 (en) * | 2002-03-26 | 2003-10-02 | Lockheed Martin Corporation | Method and system for target detection using an infra-red sensor |
| WO2008107117A1 (en) * | 2007-03-02 | 2008-09-12 | Thermosensorik Gmbh | Method and device for adaptively altering an integration time of an infrared sensor |
| US20110164139A1 (en) * | 2008-06-19 | 2011-07-07 | Flir Systems Ab | Device for imaging within the ir range |
| US20120200714A1 (en) * | 2009-10-22 | 2012-08-09 | Christophe Minassian | Method for correcting images output by a detector without temperature regulation and detector implementing such a method |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR2859279B1 (en) * | 2003-09-03 | 2005-11-25 | Jobin Yvon Sas | DEVICE AND METHOD FOR SPECTROSCOPIC MEASUREMENT WITH AN IMAGING DEVICE COMPRISING A PHOTODETECTORS MATRIX |
| US8373757B1 (en) * | 2009-02-23 | 2013-02-12 | Flir Systems, Inc. | Flat field correction for infrared cameras |
| US20120133776A1 (en) * | 2010-02-24 | 2012-05-31 | Nova Research, Inc. | Low contrast midwave flir implementation |
| JP5672147B2 (en) * | 2011-05-24 | 2015-02-18 | コニカミノルタ株式会社 | Chest diagnosis support information generation system |
-
2012
- 2012-11-01 SE SE1230112A patent/SE536679C2/en unknown
-
2013
- 2013-10-30 WO PCT/SE2013/000166 patent/WO2014070062A1/en not_active Ceased
- 2013-10-30 US US14/439,941 patent/US9648253B2/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0601534A1 (en) * | 1992-12-07 | 1994-06-15 | Hughes Aircraft Company | Wide dynamic range non-uniformity compensation for infrared focal plane arrays |
| US20030183765A1 (en) * | 2002-03-26 | 2003-10-02 | Lockheed Martin Corporation | Method and system for target detection using an infra-red sensor |
| WO2008107117A1 (en) * | 2007-03-02 | 2008-09-12 | Thermosensorik Gmbh | Method and device for adaptively altering an integration time of an infrared sensor |
| US20110164139A1 (en) * | 2008-06-19 | 2011-07-07 | Flir Systems Ab | Device for imaging within the ir range |
| US20120200714A1 (en) * | 2009-10-22 | 2012-08-09 | Christophe Minassian | Method for correcting images output by a detector without temperature regulation and detector implementing such a method |
Also Published As
| Publication number | Publication date |
|---|---|
| SE1230112A1 (en) | 2014-05-02 |
| US9648253B2 (en) | 2017-05-09 |
| SE536679C2 (en) | 2014-05-20 |
| US20150288891A1 (en) | 2015-10-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9648253B2 (en) | Procedure for mapping when capturing video streams by means of a camera | |
| US11700350B2 (en) | Multi camera image processing | |
| US10984512B2 (en) | Method of providing automotive around view image using machine learning model | |
| US9124811B2 (en) | Apparatus and method for processing image by wide dynamic range process | |
| JP6326180B1 (en) | Image processing device | |
| EP3512195A1 (en) | Method for displaying image in multi-view mode | |
| JP5860663B2 (en) | Stereo imaging device | |
| US20150009358A1 (en) | White balance method for shading compensation, and apparatus applied to the same | |
| JP6576028B2 (en) | Image processing apparatus and image processing method | |
| JP6039205B2 (en) | Imaging device | |
| JP6453193B2 (en) | Stereo camera device | |
| US9210395B2 (en) | Image processing device and image processing method | |
| US11483547B2 (en) | System and method for adaptive correction factor subsampling for geometric correction in an image processing system | |
| US9918028B2 (en) | Image capturing apparatus comprising a plurality of processing circuits for correcting defective pixel by using information of defective pixel detected in different frames and control method for the same | |
| US9781343B2 (en) | Image processing apparatus and method for operating image processing apparatus | |
| JP2010154478A (en) | Compound-eye imaging apparatus and method for generating combined image thereof | |
| US11145093B2 (en) | Semiconductor device, image processing system, image processing method and computer readable storage medium | |
| JP6039204B2 (en) | Imaging device | |
| CN104836988B (en) | Agreement exchange method and device | |
| KR20180028354A (en) | Method for displaying image in multiple view modes | |
| KR20190113251A (en) | Method of correcting non-uniformity for thermal image camera | |
| KR20190054703A (en) | Method for correcting image quality taken by dual camera | |
| US12045949B2 (en) | Method, apparatus, computer device and storage medium for adjusting brightness of mosaiced images | |
| JP6351690B2 (en) | Signal processing apparatus, signal processing method, computer program, lens unit | |
| JP2012124795A (en) | Image processing system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| 121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 13850978 Country of ref document: EP Kind code of ref document: A1 |
|
| WWE | Wipo information: entry into national phase |
Ref document number: 14439941 Country of ref document: US |
|
| NENP | Non-entry into the national phase |
Ref country code: DE |
|
| 122 | Ep: pct application non-entry in european phase |
Ref document number: 13850978 Country of ref document: EP Kind code of ref document: A1 |