CA2797054A1 - Infrared resolution and contrast enhancement with fusion - Google Patents

Infrared resolution and contrast enhancement with fusion Download PDF

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Publication number
CA2797054A1
CA2797054A1 CA2797054A CA2797054A CA2797054A1 CA 2797054 A1 CA2797054 A1 CA 2797054A1 CA 2797054 A CA2797054 A CA 2797054A CA 2797054 A CA2797054 A CA 2797054A CA 2797054 A1 CA2797054 A1 CA 2797054A1
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Canada
Prior art keywords
image
resolution
visual image
visual
combining
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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.)
Granted
Application number
CA2797054A
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French (fr)
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CA2797054C (en
Inventor
Katrin Strandemar
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Flir Systems AB
Original Assignee
Flir Systems AB
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Priority claimed from US12/766,739 external-priority patent/US8520970B2/en
Application filed by Flir Systems AB filed Critical Flir Systems AB
Publication of CA2797054A1 publication Critical patent/CA2797054A1/en
Application granted granted Critical
Publication of CA2797054C publication Critical patent/CA2797054C/en
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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/50Image enhancement or restoration by the use of more than one image, e.g. averaging, subtraction
    • G06T5/70
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10048Infrared image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20212Image combination
    • G06T2207/20221Image fusion; Image merging

Abstract

The present disclosure relates to combination of images. A method according to an embodiment comprises: receiving a visual image and an infrared (IR) image of a scene; extracting high spatial frequency content from said visual image; and combining said extracted high spatial frequency content from said visual image with said IR image, wherein a resolution for the visual image and the IR image are substantially the same, to generate a combined image.

Claims (25)

1. A method, comprising:

receiving a visual image and an infrared (IR) image of a scene;
extracting high spatial frequency content from said visual image; and combining said extracted high spatial frequency content from said visual image with said IR image, wherein a resolution for the visual image and the IR image are substantially the same, to generate a combined image.
2. The method of the preceding claim, further comprising ensuring that a resolution for the visual image and the IR image are substantially the same.
3. The method of any of the preceding claims, further comprising checking whether a resolution for the visual image and the IR image are substantially the same;
and wherein, if the resolution for the visual image and the IR image are not substantially the same, altering a resolution of the visual image and/or a resolution of the IR image such that the resolution for the visual image and the IR image are substantially the same.
4. The method of any of the preceding claims, further comprising altering at least one of a resolution of said visual image and a resolution of said IR image such that the visual image and the IR image have substantially the same resolution.
5. The method of any of the preceding claims, further comprising up-sampling a resolution of said IR image to substantially a resolution of said visual image and/or down-sampling the resolution of said visual image to substantially the resolution of said IR image.
6. The method of any of the preceding claims, further comprising altering a resolution of said visual image and a resolution of said IR image to be substantially the same as a third resolution.
7. The method of any of the preceding claims, wherein a resolution of the received IR
image is 64×64 pixels or less.
8. The method of any of the preceding claims, wherein a resolution of the received IR
image is 32×32 pixels or less.
9. The method of any of the preceding claims, wherein the extracting high spatial frequency content from said visual image is performed by high pass filtering using at least one spatial filter.
10. The method of any of the preceding claims, further comprising processing said IR
image to reduce noise in the IR image and/or smooth the IR image.
11. The method of any of the preceding claims, further comprising low pass filtering said IR image prior to the combining.
12. The method of any of the preceding claims, further comprising low pass filtering said IR image by use of a spatial filter prior to the combining.
13. The method of any of the preceding claims, wherein the combining comprises superimposing said extracted high spatial frequency content from said visual image on said IR image.
14. The method of any of the preceding claims, wherein the combining comprises superimposing said IR image on said extracted high spatial frequency content from said visual image.
15. The method of any of the preceding claims, wherein the combining further comprises adding a luminance component of said visual image to said IR image.
16. The method of any of the preceding claims, wherein the combining further comprises adding a luminance component of said visual image multiplied by a factor to said IR
image.
17. The method of the preceding claim, wherein said factor is variable based on a control parameter received from an input from a user.
18. The method any of the preceding claims, further comprising adding high resolution noise to said combined image.
19. The method of any of the preceding claims, further comprising maintaining an IR
palette for said IR image and/or for said combined image.
20. The method of any of the preceding claims, further comprising capturing a visual image and an IR image of a scene, and wherein the method of claim 1 is performed by an imaging device comprising an IR image capturing device and a visual image capturing device.
21. The method of any of the preceding claims being performed in a computer being adapted to receive a visual image and an IR image of a scene.
22. A non-transitory computer program product for combining an IR image with a visual image, the computer program product comprising computer program code portions devised to control a data processing system to perform operations comprising:
receiving a visual image and an IR image of a scene;
extracting high spatial frequency content from said visual image; and combining said extracted high spatial frequency content from said visual image with said IR image, wherein a resolution for the visual image and the IR image are substantially the same, to generate a combined image.
23. The computer program product of the preceding claim, further comprising computer program code portions devised to control a data processing system to perform the steps or functions of any of claims 2-21.
24. An imaging device, comprising:
a visual image sensor for capturing a visual image;
an IR image sensor for capturing an IR image; and a processing unit adapted to extract high spatial frequency content from said visual image and to combine said extracted high spatial frequency content from said visual image with said IR image, wherein a resolution for the visual image and the IR
image are substantially the same, to generate a combined image.
25. The imaging device of the preceding claim, further comprising a processor adapted for performing the steps or functions of any of claims 2-21.
CA2797054A 2010-04-23 2011-04-21 Infrared resolution and contrast enhancement with fusion Active CA2797054C (en)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US12/766,739 US8520970B2 (en) 2010-04-23 2010-04-23 Infrared resolution and contrast enhancement with fusion
US12/766,739 2010-04-23
US201161473207P 2011-04-08 2011-04-08
US61/473,207 2011-04-08
PCT/EP2011/056432 WO2011131758A1 (en) 2010-04-23 2011-04-21 Infrared resolution and contrast enhancement with fusion

Publications (2)

Publication Number Publication Date
CA2797054A1 true CA2797054A1 (en) 2011-10-27
CA2797054C CA2797054C (en) 2018-07-17

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
CA2797054A Active CA2797054C (en) 2010-04-23 2011-04-21 Infrared resolution and contrast enhancement with fusion

Country Status (3)

Country Link
KR (1) KR101773887B1 (en)
CN (1) CN102334141B (en)
CA (1) CA2797054C (en)

Cited By (2)

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CN109478315A (en) * 2016-07-21 2019-03-15 前视红外系统股份公司 Blending image optimization system and method
CN111080554A (en) * 2019-12-20 2020-04-28 成都极米科技股份有限公司 Method and device for enhancing subtitle area in projection content and readable storage medium

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KR200457457Y1 (en) 2009-07-03 2011-12-20 주식회사 일광산업 LCD Monitor Installing Equipment with Automatic Opening Cover
CN104364800A (en) * 2012-03-30 2015-02-18 前视红外系统股份公司 Facilitating analysis and interpretation of associated visible light and infrared (IR) image information
CN105009568B (en) * 2012-12-21 2018-12-18 菲力尔系统公司 For handling the system of visible spectrum image and infrared image, method and the readable medium of non-volatile machine
WO2016205419A1 (en) * 2015-06-15 2016-12-22 Flir Systems Ab Contrast-enhanced combined image generation systems and methods
KR102590900B1 (en) * 2018-08-27 2023-10-19 엘지이노텍 주식회사 Image processing apparatus and image processing method
EP3704668A4 (en) 2018-12-17 2021-04-07 SZ DJI Technology Co., Ltd. Image processing method and apparatus
KR20210043933A (en) * 2019-10-14 2021-04-22 엘지이노텍 주식회사 Image Processing Apparatus and Image Processing Method
KR102341471B1 (en) * 2019-11-25 2021-12-21 김종원 Method and aooaratus for object regobnition using thermal imaging sensor and imaging sensor
KR102257752B1 (en) * 2020-05-14 2021-05-31 인천대학교 산학협력단 Artificial Intelligence Based Image Fusion Apparatus and Method for Fusing Infrared and Visible Image
CN112449095A (en) * 2020-11-12 2021-03-05 Oppo广东移动通信有限公司 Image processing method and device, electronic equipment and readable storage medium

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JP2005031800A (en) * 2003-07-08 2005-02-03 Mitsubishi Electric Corp Thermal image display device
JP2005173879A (en) 2003-12-10 2005-06-30 Mitsubishi Electric Corp Fused image display device
US7620265B1 (en) * 2004-04-12 2009-11-17 Equinox Corporation Color invariant image fusion of visible and thermal infrared video
JP2005338359A (en) 2004-05-26 2005-12-08 Constec Engi Co Imaging unit
CN100557633C (en) * 2007-12-18 2009-11-04 西安电子科技大学 Multisource image anastomosing method based on pectination ripple and Laplace tower decomposition
CN101404084A (en) * 2008-11-14 2009-04-08 哈尔滨工业大学 Infrared image background suppression method based on Wavelet and Curvelet conversion

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109478315A (en) * 2016-07-21 2019-03-15 前视红外系统股份公司 Blending image optimization system and method
CN111080554A (en) * 2019-12-20 2020-04-28 成都极米科技股份有限公司 Method and device for enhancing subtitle area in projection content and readable storage medium
CN111080554B (en) * 2019-12-20 2023-08-04 成都极米科技股份有限公司 Method and device for enhancing subtitle region in projection content and readable storage medium

Also Published As

Publication number Publication date
CN102334141B (en) 2015-05-20
KR20130054281A (en) 2013-05-24
CA2797054C (en) 2018-07-17
CN102334141A (en) 2012-01-25
KR101773887B1 (en) 2017-09-12

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