The future of mobile dual cameras is brighter than ever. Adoption rates surpassed analysts' predictions, and all major OEMs plan to launch or have already launched handsets with zoom dual cameras. Now the race begins for higher zoom factors, better optical stabilization, lower Z-heights and better low-light performance – anything that improves the overall camera and handset user experience. In this paper, we discussed some ways to increase the zoom factor and reduce the Z-height while maintaining superior image quality.
The road to improved camera hardware does not stop here. From reducing the overall footprint of the camera module, finding new ways to optically stabilize the cameras, giving the camera autonomous sensing capabilities and other innovative hardware improvements, Corephotonics will continue to provide state-of-the-art, never-before-seen camera module designs to help drive mobile imaging innovation forward.
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Image Fusion - How to Best Utilize Dual Cameras
1. Image Fusion
How to Best Utilize Dual Cameras
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2. • UpdatedAdoptionRates:
30%in2018and50%in2019
• AllTopOEMsflagshipscontain
DualCameras
• NewlyreleasediPhone8&iPhoneX
containDualCameras
DigiTimesResearch(July2017)
Source:CLSA,April2016
1584 1641 1516 1463
0
77 318 488
0%
4%
17%
25%
0%
5%
10%
15%
20%
25%
30%
0
200
400
600
800
1000
1200
1400
1600
1800
2000
2015 2016CL 2017CL 2018CL
<Dual Cam Market Growth, CLSA, April , 2016 (Mil units)>
Smartphones without dual cam Smartphones with dual cam
Dual cam adoption (%)
Dual Camera Adoption More Then Just a Trend
Dual-Camera Smartphone Market Growth
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3. Image Fusion - Overview
3
• Whatisit?
o ImageFusionistheprocessof
combiningtwoormoreinput
imagesintoasingleimage
• Whydoweneedit?
o Themainreasonforcombining
theimagesistogetamore
informativeoutputimage
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4. Image Fusion – Example 1
4
• Mono+ColorDualCamera
o Themonochromaticsensorcaptures
2.5Xmorelight
ReachesbetterResolution&SNR
o Combinedoutputimagehasbetter
Resolution&SNR,especiallyin
lowlightconditions
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5. Image Fusion – Example 2
5
• Wide+TeleDualCamera
o SimulatesacontinuousOpticalZoom
effect,asfoundinDSLRs
o Combinedoutputimagewillimprove
theResolution&SNRfromnoZoomup
tothepointtheTelephotoCamera’s
Field-of-Viewisthedominantone
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11. Global Registration
11
• The algorithmcalculates and compensates forglobal
differencesbetweenthe 2 cameras which could be
attributedto dynamic changes between
images and specific properties
of eachcamera
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12. Local Registration & Parallax Correction
12
• Fine Registration in which the parallax
(i.e.shiftinXandYdimensions,whichisbasedonobjectdistance)
is determined for each Pixel in the input images
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13. Decision & Fusion
13
• Decision:
Handlesocclusions,correctsforRegistrationerrorsandhasan
adaptivealgorithmthateliminatesartifactsfromthefinalimage
• Fusion:
BlockthatimplementstheactualdataFusioninawaythatthe2
originalimagesareseamlesslyblendedtogether
X X
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19. Apple iPhone 7+ Fusion FusionZoom Factor 1.8 with 570 Lux
• Tele & Wide images taken on iPhone
• Images processed by Corephotonics Image Fusion (Right) compared to iPhone Fusion (Left) Corephotonics Proprietary Information