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In the second part of our conversation with Jeff Carlson about his new computational photography column, we take a hard look at some examples that go way beyond just making your photos look good. Jeff also covers some examples of how computational photography can help you do things that you might never be able to do on your own, and why we do't see more computational power built into traditional cameras. (Part 2)
This edition of MacVoices is supported by Kolide. Get important, timely, and relevant security recommendations for your Mac, right inside Slack. Try Kolide with all its features on an unlimited number of devices for free for 14 days; no credit card required, at Kolide.com/macvoices.
Show Notes:Links:
DxO PureRAW 2
Guests:
Author and photographer Jeff Carlson (@jeffcarlson, [email protected]) is a columnist for the Seattle Times, a contributing editor at TidBITS (tidbits.com), and writes for publications such as Macworld and Photographic Elements Techniques. He is the author of The Connected Apple Family, The iPad for Photographers, Third Edition, iPad & iPhone Video: Film, Edit, and Share the Apple Way, and Take Control of Your Digital Photos on the Mac, among many other books. He believes there's never enough coffee, and does his best to test that theory. You can find him podcasting about photography on both PhotoActive and Photocombobulate. He is also authoring a computational photography column at PopPhoto.com.
Support:
Become a MacVoices Patron on Patreon http://patreon.com/macvoices
Enjoy this episode? Make a one-time donation with PayPal
Connect:
Web: http://macvoices.com
Twitter: http://www.twitter.com/chuckjoiner http://www.twitter.com/macvoices
Facebook: http://www.facebook.com/chuck.joiner
MacVoices Page on Facebook: http://www.facebook.com/macvoices/
MacVoices Group on Facebook: http://www.facebook.com/groups/macvoice
LinkedIn: https://www.linkedin.com/in/chuckjoiner/
Instagram: https://www.instagram.com/chuckjoiner/
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By Chuck Joiner4.2
3333 ratings
In the second part of our conversation with Jeff Carlson about his new computational photography column, we take a hard look at some examples that go way beyond just making your photos look good. Jeff also covers some examples of how computational photography can help you do things that you might never be able to do on your own, and why we do't see more computational power built into traditional cameras. (Part 2)
This edition of MacVoices is supported by Kolide. Get important, timely, and relevant security recommendations for your Mac, right inside Slack. Try Kolide with all its features on an unlimited number of devices for free for 14 days; no credit card required, at Kolide.com/macvoices.
Show Notes:Links:
DxO PureRAW 2
Guests:
Author and photographer Jeff Carlson (@jeffcarlson, [email protected]) is a columnist for the Seattle Times, a contributing editor at TidBITS (tidbits.com), and writes for publications such as Macworld and Photographic Elements Techniques. He is the author of The Connected Apple Family, The iPad for Photographers, Third Edition, iPad & iPhone Video: Film, Edit, and Share the Apple Way, and Take Control of Your Digital Photos on the Mac, among many other books. He believes there's never enough coffee, and does his best to test that theory. You can find him podcasting about photography on both PhotoActive and Photocombobulate. He is also authoring a computational photography column at PopPhoto.com.
Support:
Become a MacVoices Patron on Patreon http://patreon.com/macvoices
Enjoy this episode? Make a one-time donation with PayPal
Connect:
Web: http://macvoices.com
Twitter: http://www.twitter.com/chuckjoiner http://www.twitter.com/macvoices
Facebook: http://www.facebook.com/chuck.joiner
MacVoices Page on Facebook: http://www.facebook.com/macvoices/
MacVoices Group on Facebook: http://www.facebook.com/groups/macvoice
LinkedIn: https://www.linkedin.com/in/chuckjoiner/
Instagram: https://www.instagram.com/chuckjoiner/
Subscribe:
Audio in iTunes Video in iTunes
Subscribe manually via iTunes or any podcatcher:
Audio: http://www.macvoices.com/rss/macvoicesrss Video: http://www.macvoices.com/rss/macvoicesvideorss

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