Remove tourists in just 1-click

Adobe Camera RAW v14.2 just added a new AI-based removal tool for “distracting people”. It’s pretty amazing and I highly recommend checking it out. It is much more than just a way to automate the existing AI remove brush. It can achieve better results and is smart enough to understand and keep an intentional main subject (rather than just removing everyone).

To use it:

  • Update to ACR v14.2 and go to its prefs / tech previews and turn on “new AI features and settings panel”
  • Open a RAW image and go to the remove tab (<B>)
  • Open the “people” section under Distraction Removal.
  • It will highlight detected people in red. You cannot add or remove the red with a brush, but you can select a pin and delete it if there is an area you wish to not fix (such as a secondary person you want in the image).
  • Click the blue “remove” button

How are the results? It often does a great job, especially for the kind of casual shots where you aren’t likely to wait for people to leave or use a tripod for multiple exposures or a long shutter. Like other recent AI tools, the resolution is a bit lower, but good enough for a lot of social media. You can always do more manual repair or cloning after, and this will often save you considerable time. Overall, it’s very impressive for an initial release of a tech preview.

 

ASUS PA32UCDM: The best HDR OLED monitor for photographers?

B&H just opened pre-order for a very exciting new HDR monitor: the ASUS PA32UCDM. This level of performance has never before been offered at this price point.

This monitor offers:

  • 1000-nits peak brightness to support roughly 3.3 stops of additional dynamic range over standard monitors (certified DisplayHDR™ True Black 400)
  • OLED for perfect blacks
  • ∆E < 1  and hardware calibration for high accuracy (this is critical for HDR, as there is no standard yet to create ICC profiles for HDR display)
  • 99% P3 coverage
  • 4k resolution
  • Connect your laptop with a single cable: 96W USB-C power delivery and three downstream ports (Thunderbolt 4, USB 3.2 Gen 2 Type-C, and USB 3.2 Gen 2 Type-A)
  • Dolby Vision, HDR10, and HLG support
  • It also offers 240Hz and 0.1ms for those of you interested in gaming.
  • All for only $1,699 (comparable alternatives to this monitor are typically $2-$3k).

There is nothing else like this on the market. Other OLED monitors either lack the brightness or the color accuracy. As an OLED, it will offer superior shadow detail compared to mini-LED alternatives. And this is the lowest price point I’ve seen for a monitor offering such an outstanding level of HDR support.

It isn’t shipping yet, so I haven’t had a chance to test it in person, but this is an extremely exciting product. I have purchased three previous ASUS ProArt monitors and tested many others. They make a great product and their support for calibration is very unique (Apple offers some calibration support for their XDR branded displays and you can calibrate a TV in the hardware).

 

Image Quality

I need to test one to say anything definitive, but we can learn much from the specifications alone.

It is important to remember that the peak brightness of an OLED is not directly comparable to mini-LED. While 1000 nits on this display is getting very close to the 1600 nits of an Apple laptop for example, that only applies when a modest percentage of the image pixels are very bright. Apple’s XDR mini-LED displays can light the entire display at 1000 nits, while an OLED like this probably only supports 2-10% of the display at peak values before it needs to dim a bit. With a properly edited HDR, you should have only a small number of pixels hitting such high values. So an OLED should work very well for editing HDR under proper ambient lighting conditions (your SDR brightness should ideally be 80-120 nits even for print work).

The biggest downside of this peak brightness limitation probably applies to photographers who are new to HDR and prone to pushing the brightness too high in which case the dimming might convince you to edit the content too bright. You can easily check your work on another display (such as your phone), Web Sharp Pro has HDR soft proofing features to warn you around excessively bright editing, and you can easily test your image with overlays or measurement tools in Lightroom, ACR, and Photoshop.

As an OLED, it will almost certainly offer superior shadow detail compared to even the best mini-LED displays. I wouldn’t put too much weight on this, as high end mini-LED displays are excellent, but there will definitely be an observable difference in dark shadow detail (when viewed in a suitably dark environment).

I’ll update this information when I’m able to purchase one for testing.

 

First impressions: Who should buy this monitor and what are good alternatives?

The ASUS PA32UCDM fills an important role as a high quality HDR OLED at a price point that bridges the gap between budget HDR and professional mini-LED.

The ideal HDR monitor for you depends on your working environment and budget. The following should be a good guide to finding the right choice:

  • If you work in a bright environment or want a full 4 stops of HDR and have a large budget ($2,500-$3,000): ASUS PA32UCXR mini-LED (see my review).
  • If you work in an environment with controlled lighting or $1,700 is a better fit for your budget: ASUS PA32UCDM (this OLED).
  • If you are willing to use a 42″ TV as a monitor, the LG C4 is an excellent option for $900 (while inventory lasts, the C5 has no advantages here but the price has increased).
  • If you are interested in a 32″ HDR monitor for ~$1,000: ASUS PA32UCR-K mini-LED (see my review for caveats and tips on local dimming with this older model).
  • If you have a very tight budget (~$350), the Xioami G Pro 27i offers a 1000-nit, 27″, 2K resolution mini-LED with moderate color accuracy (see my review).
  • An external monitor is just one option. All of the 14-16″ M1 and later MacBook Pros include an outstanding 1600 nits mini-LED. See my review of the M4 MacBook Pro. Highly recommended!

 

[Disclosure: This post contains affiliate links. I rarely endorse other products and only do when I think you would thoroughly enjoy them. By purchasing through these links, you are helping to support the creation of my tutorials at no cost to you.]

How to create an HDR timelapse

I’m very excited to see that the popular LRTimelapse app now supports the ability to create an HDR time lapse video from your HDR photos in Lightroom. Many of you have been asking me how to create HDR time lapses, or to create HDR video from your photos. Both of these are great ways to share your work. And this also gives you more options to share your HDR work (such as to share HDR on Facebook, which does not yet support photos but does support video).

I haven’t had a chance to try it yet myself, but certainly will soon and I look forward to sharing my experience when I can! But given how many of you have specifically asked me about how to do this, I wanted to make sure you were aware of this new capability in a widely loved program for timelapse. The current capability supports timelapse and isn’t really designed to make slideshows (ie show the same image for more than a frame), but perhaps we’ll see that added too in the future.

If you’ve tried it, please share your thoughts below!

Disclosure: This article contains affiliate links. See my ethics statement for more information. When you purchase through such links, you pay the same price and help support the content on this site.

 

 

 

How to automatically remove reflections and lens flare

Adobe Camera RAW (ACR) v17.1 recently got a very cool new AI feature: the ability to automatically remove reflections. That’s great, but I’m even more excited about a very hack you can use with it to automatically remove lens flare! Let’s start with the intended use first.

 

How to remove reflections with ACR:

Under the remove tab (<B>) is the “reflections” checkbox. Simply enable it and it should do all the work. You may adjust the slider to change the amount, but I find that is rarely needed. In cases where the reflection and image content are both significant, the tool may show the reflection by default. If that happens, just move the slider to the opposite side to show the expected result. Only RAW files are supported at this time (so JPG, rasterized layers, etc will show this option greyed out).

The results are often impressively good, even though complete removal is unlikely in many cases. You will also see some artifacts and the detail would not often stand up to print without further repair. Shooting through glass isn’t something you’ll do often for serious photos and this is naturally well suited to casual photos you’re more likely to take with your phone (such as shooting food through a glass counter or animals at the zoo). Just keep in mind that you’ll need to switch to RAW capture (at least momentarily) if you want to use this feature at this point with your camera.

 

How to remove lens flare with ACR:

While the AI model hasn’t been trained specifically to handle lens flare, it can often help there too. After all, flare involves light hitting glass. This is some of the most painful work to do in Photoshop. It’s often technically challenging, time consuming, and the results are often not very satisfactory.

In the video below, you’ll see how simply enabling “remove reflections” removes nearly half the flare in this image. It’s a particularly nasty image where the camera is pointed directly at the sun, with an ND filter on the lens, and likely water and salt spray on the glass from the crashing waves. After getting the benefit of that 1-click fix, you can use the generative AI remove tool to remove everything else with just a few clicks. In less than a minute, the fix is good enough for social media.

Is it perfect? No, far from it. The AI fix isn’t flawless and would show issues in a print. It provides a much better starting point for manual work to fix the image. The image can be manually cleaned up with standard clone and healing techniques in far less time than it would take without using AI. The benefit here is in significantly reducing work (possibly eliminating it if you don’t need to print). A 100% flawless fix straight out of the AI is an unrealistic goal at this time. But just imagine how good this might get over time as AI improves (and especially if a model were trained to deal with this problem specifically).

 

How might these AI tools improve even further?

The AI content generation tools in Adobe Camera RAW are often great for social media, but won’t necessarily give you enough close detail for a print. With constant improvements in AI, that’s likely to improve significantly and ultimately be resolved. The lens flare benefits here are probably coincidental, and we could see significant benefits if Adobe or another company released a model trained to solve that specific problem. I think that’s exciting to consider for the future, and you can already use these AI results to significantly reduce the effort needed to clone out these issues. While these results aren’t always perfect, they can often save a lot of time by giving you a better starting point. And that’s ultimately the key to AI – use it with the intention of reducing work, rather than expecting it to do ALL the work.

ISO gain maps: sharing HDR photos is about to get much easier

HDR photography offers incredible improvements in image quality and support has come a long way in just a couple short years. We have a great range of editing software (all versions of Lightroom, Adobe Camera RAW, Photoshop, Affinity, Pixelmator Pro, etc). Most people have at least one HDR-capable display, considering smart phones and TVs – not to mention the majority Apple laptops / displays and a growing range of PC laptop and external monitor options (including a very budget-friendly monitor). We even have a good degree of support on Instagram and Threads (see here for more details). And “gain maps” allow us to share HDR images that look incredible on any monitor (even if it has limited or no HDR support at all).

However, we’ve had ongoing challenges in distribution. While there is fairly significant support for creating and viewing HDR photos (much more than most people realize), the key bottleneck has been distribution. For example, you can capture and upload an HDR photo to Instagram on an iPhone, you cannot upload that same image on an Android phone and vice versa. And uploading an edited image has been a problem too.

The reason for these challenges is because we have not had a single standard for “gain maps”, which are the key technology that let us safely share HDR images with anyone. Apple, Adobe, and Google (Android) have all used somewhat different mechanisms for encoding gain maps. They are all conceptually similar, but the differences have created technical issues. Additionally, these multiple formats create a burden for any website or app which wants to support HDR, as it significantly increases the development effort and risk of bugs. Thankfully, we now have an official standard for gain maps: ISO 21496-1.

 

Benefits of ISO 21496-1 gain maps:

This official standard is likely to have numerous benefits:

  • HDR support will likely increase significantly in the coming year. This may be nearly automatic in some cases as important backend tools / libraries add support (for example, support in the WordPress media library will likely come from ongoing updates to a piece of software called ImageMagick). And even developers who do not use such libraries should be more motivated given significantly less development effort.
  • This greater simplicity and increased support will likely be an important catalyst for adoption of HDR, in turn spurring a virtuous cycle of increased content creation and greater support.
  • It should get much easier to share HDR on existing platforms (such as Instagram / Threads). The pain of figuring out which format works on which platform/device should start to go away.
  • HDR image quality may improve further on existing platforms. This is not so much because the format is better, but rather because there are some cases where compromises are used due to format conflicts or lack of support on a specific operating system. This should allow improved image quality on iPhones in particular.

 

Support for ISO 21496-1 gain maps:

The ISO standard is already at a very mature stage and is rapidly gaining support, including:

  • Web Sharp Pro (WSP) v6
    • WSP creates the most compatible HDR files possible. They offer the highest quality HDR possible, while remaining 100% compatible on any system (they’d work even in a 30-year old web browser). The JPG gain maps are dual encoded with both ISO and Android XMP, which offers the greatest HDR support possible both now and into the future.
    • The gain maps are supported as HDR by Instagram and Threads.
    • WSP offers full control of the base SDR image, which offers vastly higher quality on SDR or limited HDR displays.
    • WSP’s “enhance SDR to HDR” allows you to optimize your image for print and at the same time offer an optimized image which will stand out on Instagram. The SDR base image in the gain map will match your original edit exactly. Everyone gets a great result, regardless of HDR support. And you don’t even need an HDR monitor to create these HDR images for social media.
  • Adobe Lightroom (Classic v14, Cloud v8, Mobile v10 apps) and Adobe Camera RAW v17, which were all just released in Oct 2024.
    • All versions support JPG gain maps, which is the format you should use currently. If you see options for “HDR output” or “maximize compatibility”, you should make sure they are checked (if you do not see an option, it is effectively enabled).
    • There is also quite a bit of ISO gain map support for other formats, but this seems to vary at this point based on the version of Lightroom used.
      • In LRC / ACR: ISO gain maps are created when you export with “HDR output” and “maximize compatibility” checked. This includes the JPG, AVIF, JXL, and TIF formats.
      • In LR mobile (iOS / Android), gain maps are created when you use the “export as” option with “HDR output” enabled under “more options” and use JPG or AVIF (there is no explicit “maximize compatibility” option). Other file formats do not appear to support gain maps (JXL, TIF, and DNG will export simple HDR images without a gain map).
      • In LR (cloud), gain maps are created when you export an HDR image as a JPG. Other file formats do not appear to support gain maps (AVIF, JXL, TIF, and DNG will export simple HDR images without a gain map).
    • Note that the Adobe spec references additional file types (PNG, DNG and HEIF), but Lightroom does not appear to provide encoding support at this time. I presume the ISO spec would allow for these formats (Adobe’s new demo app already reports that HEIC images captured with iOS 18 are encoded with the ISO standard). These are relative niche formats (PNG might for example be used by governments / museums for lossless encoding), but it seems likely that many common image formats will get support for ISO gain maps.
  • Adobe has updated their gain map resources:
    • Their support page references the ISO spec.
    • The Adobe Gain Map Demo app v17 (available on the same page) supports the ISO file types and will explicitly tell you which format is used via the optional text overlay (<ctrl/cmd>-I).
    • The support page also includes updated sample ISO gain map images in JPG, AVIF and JXL file formats.
  • Chrome-based browsers (which includes Edge, Brave, and Opera).
    • These all support ISO JPG gain maps.
    • It also includes ongoing legacy support for the Adobe/Google specs (which is great for images you’ve already exported from Adobe software or captured with your Android phone).
    • Additionally, AVIF with ISO gain maps is
  • Apple software (including MacOS Sequoia, iOS / iPadOS 18).
    • This includes ISO JPG gain map support for Photos, iMessage, Previews, QuickLook, and 3rd-party apps (ie developer APIs).
    • The latest native camera app also writes the ISO format when capturing in supported modes to JPG or HEIF.
    • Additionally, Apple continues to support the older Apple encoding for JPG / HEIC (which is great for images you’ve already captured with your iPhone / iPad).

I expect to update this list as support grows (or I learn of others, as I may easily be overlooking someone). Support is likely to expand significantly in the coming year.

 

Where do we need support for ISO 21496-1?:

Ultimately, it will be ideal to have support on nearly all software for ISO gain maps in the JPG and AVIF formats. There are a few key applications where support would be especially beneficial given the large number of devices which would benefit immediately:

  • Apple Safari / WebKit.
    • As all iPhone / iPad browsers use WebKit, this is a critical update as we cannot yet see HDR images in HDR browsers on Apple’s mobile devices (the hardware is widely available, including any iPhone less than 4 years old).
    • No one has invested more in HDR computer displays than Apple and their recent software updates include considerable support for ISO gain maps. They have been clear leaders in the space and it would be amazing to see them unlock the full potential of their mobile devices.
  • The support in Apple software needs a bit of work still. ISO gain maps appear to be treated as if they were simple 3-stop HDR images (ie the gain map is not used as expected), resulting in an inferior result to what you would see in Chrome. Additionally, iMessage is not working correctly yet as of Jan, 2025.
  • Instagram / Threads / Facebook.
    • Meta (the parent company for all these platforms) has been an early adopter and champion for HDR photography, especially on Instagram.
    • We already have a good deal of support (I have posted dozens of SDR vs HDR comparison images on Instagram).
    • Adding ISO support should make it much easier to post (without the workarounds I’ve been using) and likely should further benefit quality in the iOS app (which does not currently use the full 3 stops of headroom on the phone).
    • There is likely significant work to transcode existing images and update support on multiple platforms (iPhone, Android, and web), so it may take some time.
  • Open source libraries, which are critical to support in applications such as WordPress and probably most websites. The Google-backed open-source libultrahdr library supports ISO JPG and is an ideal way for other libraries to add support. See the developers section of my main HDR page for more info.

 

How does ISO 21496-1 compare to”legacy” gain map encodings?

The important thing to know is that the best format to use going forward is the ISO spec. However, this transition naturally raises questions about whether existing images can or should be converted to the ISO spec.

Time will tell how how many existing gain maps in “legacy” (Apple / Adobe / Android) formats are converted to ISO, but it seems likely that existing support will be retained for a very long time. So nothing should break, even if existing HDR image are not re-encoded in the ISO format. That said, you may benefit from re-encoding anything you’ve already shared. For example, Apple has not added support for the Adobe / Android spec, so re-exporting to ISO will give you greater HDR support on Apple devices.

All the various gain map encodings are conceptually very similar. It is even possible to dual-encode an image with both ISO and one of the XML formats (for example, Web Sharp Pro encodes with both ISO and Android XMP – along with some optimizations required for Instagram / Threads, which make it widely compatible with nearly all existing gain map decoders, as well as being future-proof).

However, there are differences which have resulted in the pain noted above. The differences include:

  • The ISO spec is most similar to the Adobe / Android spec.
    • One very significant difference is that the metadata is now in the “codestream”, rather than in the XML.
    • This seems ideal to prevent confusion / mistakes that might result from unwanted alteration or retention of the data in subsequent edits. However, it likely means some significant development work to add support for any application which does not use an open source library or APIs built into the host operating system.
  • The Adobe / Android specs are nearly identical (the Android spec adds a redundant “GContainer” header pointing to the auxiliary image).
    • The compatibility issues we have seen to stem more from Android decoders being written for single channel map data, resulting in Adobe images sometimes failure with software associated with the Android spec. But this has created issues where images exported from Adobe software did not work in some cases.
    • I would anticipate there is a very good chance that these images may be converted to the ISO format with no loss of quality, but cannot confirm at this time (I have not seen the ISO standard itself and am unaware of any transcoding tools which support such a conversion at this time).
  • The Apple format is more unique. It is not fully documented, but has several unique metadata values.
    • I haven’t attempted to dig through their decoding example, so I am not sure if it is possible to losslessly transcode (convert) images previously captured with an iPhone to the ISO standard.
    • If the gain map “image” itself does not need to be re-encoded, it should be possible to do such a conversion with no loss of quality.

 

I would like to share a special thanks to the teams Apple, Adobe, and Google for consistently championing HDR photography, including gain maps. It is an industry-wide effort, and there are of course numerous other companies and individuals who have helped us get to this point. These collective efforts have unlocked an incredible new opportunity to share images which are vastly more realistic and lifelike than anything previously possible.

Greg Benz Photography