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Posts Tagged ‘intelligence’

Portrait Editing with Luminar 4 – Using Artificial Intelligence

02 Nov

The post Portrait Editing with Luminar 4 – Using Artificial Intelligence appeared first on Digital Photography School. It was authored by Caz Nowaczyk.

In this video by Jacques Gaines, he looks at Portrait editing in Luminar 4 using the artificial intelligence features.

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Luminar 4 is a stand-alone software or works as a plugin in Adobe Photoshop (which is great if you like working in Photoshop and don’t want to completely swap to new software).

This video uses the plugin version with Photoshop.

Jacques uses a retouched, flattened image in Photoshop and then opens the Luminar 4 plugin and does further editing work on his portrait.

He discusses the different portrait enhancement options that Luminar 4 offers.

Within Luminar, there is a section called “Portrait.”

This is the section that consists of:

  • AI Skin Enhancer
  • Portrait Enhancer
  • High Key
  • Orton Effect

AI Skin Enhancer

Smoothes out the skin on a portrait and does it realistically. You can decide how much you want to apply it from 0-100%.
If you don’t want it to apply to certain sections, you can also mask it out using a brush tool.

Portrait Enhancer

The Portrait Enhance panel consists of:

  • Face Light
  • Red Eye Removal
  • Eye Whitening
  • Eye Enhancer
  • Dark Circles Remover
  • Slim Face
  • Enlarge Eyes
  • Eyebrow Improve
  • Lips Saturation
  • Lips Redness
  • Lips Darkening
  • Teeth Whitening

Jared shows the effects these settings have on a portrait.

When you apply the changes in Luminar, it makes the image as a new Photoshop layer. You can then use a mask to paint out any areas in the image that you don’t want the effects applied to.

Have you done portrait editing with Luminar 4? Share with us your thoughts in the comments!

 

You may also like:

  • Five Common Portrait Retouching Mistakes to Avoid
  • 5 Must-Know Photoshop Retouching Tips and Tricks for Photographers
  • How to do Portrait Retouching With Luminar
  • Top 10 Luminar 2018 Features That I Discovered by Accident
  • How to Create a Grunge Look with Luminar 2018
  • Your Guide to Understanding the Luminar 2018 Dashboard

 

The post Portrait Editing with Luminar 4 – Using Artificial Intelligence appeared first on Digital Photography School. It was authored by Caz Nowaczyk.


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Skylum announces creation of ‘Skylum AI’ artificial intelligence lab

24 May

Skylum Software, formerly known as MacPhun and the developers of the Luminar photo editing application, today announced the creation of a research and development division dedicated to artificial intelligence in imaging. The division is called the Skylum AI Lab, and it is a collaboration between Skylum and its sister company, Photolemur, makers of an AI-powered image editor.

The team at Skylum AI Lab, which will be headed by former Let’s Enchance CEO Alex Savsunenko, is already working on a number of new AI solutions. These include artificial intelligence- and machine learning-powered image upscaling, tagging and segmentation, as well as automated image enhancement systems.

As Skylum CEO Alex Tsepko explains:

By using AI-based technologies in our products, our customers save time vs. manual editing, and can often get better results. Our neural networks are being trained on millions of images taken by cameras from Fujifilm, Sony, Olympus, Nikon, Canon and many others, which means outstanding results for all photographers, regardless of what style they shoot and what gear they are using.

There is clearly a lot of buzz around artificial intelligence in imaging lately, and the possibilities do seem endless. It’s still early days, but with most major smartphone manufacturers implementing AI-powered functions in their smartphone cameras, it only makes sense to push the technology on the desktop and other platforms as well.

Whether it’s improved auto-tagging or lossless upscaling of images, we’re looking forward to the ideas and solutions coming out of Skylum AI lab in the future.

Press Release

Skylum Software doubles down on Artificial Intelligence by creating new Skylum AI Lab and joining forces with leading AI-based image editor, Photolemur

Skylum also hires Alex Savsunenko, former CEO of Let’s Enhance, to lead AI-based photo technologies to the next level.

May 22, 2018 — Bellevue, WA — Today, Skylum Software announced the formation of a new research and development division dedicated to the advancement of artificial intelligence technologies in image processing. The Skylum AI Lab leverages the company’s prior work developing smart filters in its award-winning Luminar software, as well as technology from its “sister company” Photolemur, which was founded in 2016 by Dima Sytnik and Alex Tsepko, co-founder and CEO of Skylum respectively.

“Clearly, AI can simplify our lives. By using AI-based technologies in our products, our customers save time vs. manual editing, and can often get better results,” said Alex Tsepko, CEO at Skylum. “Our neural networks are being trained on millions of images taken by cameras from Fujifilm, Sony, Olympus, Nikon, Canon and many others, which means outstanding results for all photographers, regardless of what style they shoot and what gear they are using.”

To spearhead the new Skylum AI Lab, the company has hired Alex Savsunenko, former CEO of Let’s Enhance, a leader in machine learning for visual content. Savsunenko will manage all research and development for technologies based on artificial intelligence, machine learning, and neural networks. Promising results will ultimately be implemented in Skylum products and solutions for image and video enhancement, with the aim to help users make their workflow faster, smarter and more efficient.

Currently, the Skylum AI Lab is testing over a dozen of new solutions, including:

  • Image upscaling:uses deep convolutional neural networks to improve low-resolution images and scale them up for superior viewing and printing.
  • Tagging: generates tags that describe the image and its objects based on image recognition.
  • Segmentation: smart recognition of image areas that can be automatically enhanced using different filters and corrections based on the type of object.
  • Automatic enhancement: applies smart image corrections to photos based on a variety of issues

To further reinforce its AI prowess, Skylum has also joined forces with Photolemur, creator of the world’s first fully automatic photo enhancement solution. Photolemur app has been sold for several years, with hundreds of thousands of customers worldwide. It enhances images utilizing artificial intelligence without the need to use any manual controls. Development will continue on Photolemur, with the next evolution of the app likely to be a cloud solution that helps high-volume users enhance images as batch process.

About Skylum Software

Skylum Software (formerly Macphun) is a Washington-based photo software developer with the mission to make complex photo editing simple and user-friendly. Thanks to its innovative approach and high-end proprietary technologies, Skylum products have won dozens of various awards, including “Best of the Year” awards by Apple for six straight years. Luminar was honored with the “Best Imaging Software 2017” award by TIPA and “Best Software Plugin” in October 2017 by the Lucie Technical Awards. Aurora HDR was selected as the “Best Mac App of 2017” by Apple.

To learn more about Skylum, please visit http://skylum.com/.

Articles: Digital Photography Review (dpreview.com)

 
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US intelligence agencies warn against purchasing Huawei smartphones

15 Feb

Directors from six US intelligence agencies, including the CIA, FBI, and NSA, have told the Senate Intelligence Committee that they wouldn’t recommend Americans use Huawei services or products, according to CNBC.

FBI Director Chris Wray explained to the Committee:

We’re deeply concerned about the risks of allowing any company or entity that is beholden to foreign governments that don’t share our values to gain positions of power inside our telecommunications networks. That provides the capacity to exert pressure or control over our telecommunications infrastructure. It provides the capacity to maliciously modify or steal information. And it provides the capacity to conduct undetected espionage.

This saga actually began in 2012, when the Chinese tech company was the subject of a national security investigation by US government officials who worried that its products may pose a cybersecurity risk. Huawei publicly dismissed the concerns, though the final investigative report alleged the Chinese company wasn’t fully cooperative with investigators. Australian government officials had expressed similar concerns at the time.

Huawei has consistently denied claims that its products and services may be compromised by the Chinese government. These concerns, however, have persisted to varying degrees over the years, and recently came to a head when AT&T abandoned plans to offer the Huawei Mate 10 phone in its stores.

The Huawei Mate 10 Pro went up for pre-order in the United States earlier this month.

Sources speaking to Reuters last month claimed that US lawmakers pressured AT&T into cutting commercial ties with Huawei over national security concerns, and that included asking AT&T to stop offering Huawei phones through its Cricket subsidiary. Bloomberg reported similar issues related to Verizon’s abandoned plans to sell the Huawei Mate 10.

This intelligence report to the Senate Intelligence Committee is the latest, and possibly the worst, blow for Huawei, which has struggled to enter the US market. The Mate 10 Pro and its impressive camera only just went up for pre-order in the US, and already consumers are being warned against purchasing.

Chinese drone maker DJI recently faced similar issues following a leaked government memo and a report detailing what is claimed to have been a major security vulnerability.

Articles: Digital Photography Review (dpreview.com)

 
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Pixelmator Pro will use artificial intelligence to power photo editing features

07 Sep

Pixelmator, the company behind a $ 30 image editing application for Mac, has just announced a new product called Pixelmator Pro. Though it hasn’t yet been revealed how much this software will cost, the company has detailed many of its features, some of them powered by artificial intelligence.

Pixelmator Pro, an editor designed specifically for macOS, taps Apple’s Core ML framework to bring machine learning capabilities to certain features including: horizon detection, automatic layer naming, an object-removing repair tool, and a quick selection tool.

The editor itself has a single-window design alongside a ‘reimagined editing workflow,’ the company explains, saying its app is ‘totally and completely’ designed for Apple’s operating system. Despite the simplicity of its design, Pixelmator Pro is promised to pack a robust array of tools for editing images (including Raw files), digital painting, adjusting colors, adding non-destructive effects, and more.

Speaking to The Verge, Andrius Gailiunas of Pixelmator explained that Pixelmator Pro is designed for use by anyone. “Our goal has always been to create an image editor that absolutely anyone could use and enjoy,” says Gailiunas. Because the software is designed for Mac, users will have access to iCloud backups and syncing, support for the Touch Bar on new MacBook Pro laptops, and support for split-screen multitasking.

Pixelmator plans to launch its Pro application this autumn, but hasn’t stated the price yet. In that same interview with The Verge, the company said it will price Pro as affordably as possible; however, we presume it will cost more than the $ 30 they’re charging for the regular Pixelmator editor.

Articles: Digital Photography Review (dpreview.com)

 
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Arsenal is artificial intelligence for your DSLR or mirrorless camera

26 May

A new product being funded on Kickstarter, Arsenal, aims to simplify the process of capturing images using a DSLR or mirrorless camera by utilizing artificial intelligence. The system is composed of a hardware component sits on the hotshoe and connects to the camera’s USB port, as well as mobile apps for iOS and Android that communicate via WiFi or Bluetooth to the main unit. Among other things, Arsenal chooses ideal camera settings for a particular scene based on what it has learned from thousands of similar existing photographs.

Arsenal was created by engineer and photographer Ryan Stout as a way to quickly shoot ‘amazing images’ in any condition, and without having to manually adjust the camera’s settings. The related mobile app provides total control over the camera, as well as one-tap access to an AI assistant – trained from a database of millions of photographs and their metadata – that chooses optimal settings based on the scene in front of the camera. The software then goes on to refine its chosen settings based on 18 environmental factors. It even takes vibrations into account, thanks to its highly sensitive accelerometer.

Photographers are given a live preview of the scene through the mobile app, as well as manual control over aperture, ISO, and shutter speed. You can focus by tapping on your phone’s touchscreen as well, or tap multiple points and Arsenal will ensure they’re all focused. Arsenal also supports advanced camera functions, like automated photo stacking for HDR images, focus stacking, long exposures without the need for ND filters, and time lapse creation. The resulting Raw files are saved directly to the camera.

Images on your camera can be viewed, even at 100%, directly in the app. From there you can instantly share to social media using your phone’s social sharing capabilities. You can even rate images and enter Lightroom compatible notes, and they’ll all show up upon import.

Arsenal supports cameras from Canon, Nikon, Fujifilm, and Sony; photographers can input their own camera on this page to see whether it is supported. The camera assistant is currently being funded through Kickstarter, where the $ 50,000 goal has been exceeded with nearly a quarter-million in funding. Backers can get a Kickstarter Exclusive Arsenal by pledging at least $ 150; shipping is estimated to start in January.

Our gallery below explains more about Arsenal’s features. View full-screen for captions.

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Via: Kickstarter

Press Release:

Arsenal, leaving stealth mode, unveils AI-powered camera hardware on Kickstarter

Intelligent camera assistant wirelessly controls DSLR and Mirrorless cameras from a smartphone, uses machine learning to find optimal settings in any conditions.

BOSEMAN, MT—May 23, 2017—Arsenal, a camera technology startup, today announced the world’s first intelligent camera assistant powered by machine learning. The new hardware and software product, launched on Kickstarter, enables photographers to wirelessly control their cameras and quickly perform advanced techniques.

Arsenal’s artificial intelligence (AI) is powered by a series of machine learning algorithms trained on a database of millions of photographs and their metadata. By comparing new scenes with its database and adjusting based on environmental variables, Arsenal enables photographers to get the perfect shot every time.

“Today’s cameras have amazing optics, but they do very little to actually help you take a good photo,” said Ryan Stout, Arsenal’s founder and CEO. “You can go spend a thousand dollars and out-of-the-box it will take worse photos than your smartphone. Arsenal changes that by making your existing camera smarter.”

Arsenal will serve the growing market for Digital Single Lens Reflex (DSLR) and Mirrorless cameras. Its initial product will be compatible with dozens of popular models made by Canon, Nikon, Sony, and Fuji.

In addition to its AI capabilities, Arsenal gives photographers control over their camera from up to 100 feet away. Users can adjust settings, watch a live preview, and trigger the shutter remotely from their smartphone.

Arsenal also simplifies several advanced photographic techniques. Arsenal will perform photo stacking (the process of combining multiple photos for more dynamic range or sharper focus), long exposures, and timelapses. In each case, the resulting RAW files are saved directly on the camera.

The Arsenal app also includes powerful photo review capabilities. Users can wirelessly browse the photos on their camera’s card and view individual RAW files in full resolution. Photos can then be shared directly to Instagram, Snap, and Facebook.

The Arsenal system, which is currently being tested in the field, consists of two parts: an ultralight hardware device that sits on top of a user’s camera, and an iOS/Android mobile app. The app wirelessly communicates with the device via wifi or Bluetooth, which in turn controls the camera via a micro-USB connection.

Backers of Arsenal’s Kickstarter campaign will be the first to receive the product, which is scheduled to ship in January 2018.  

For more information on Arsenal, the intelligent camera assistant, visit https://witharsenal.com.

Articles: Digital Photography Review (dpreview.com)

 
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