Hello Adam 2, Topaz Plug ins can achieve results far better than Photoshop or ON & PHoto RAW: example: Topaz Denoise 6: This is a complex plug in with Several filters and 11 sliders. Results: when removing joise with Denoise 6 yoiu obtain an outstnading result and you keep the image sharp. V 2.0.1 April 4,2019. Fixes: When saving an image to DNG, the file may have problems opening in Adobe Photoshop; v 2.0.0 April 3, 2019. New Features: Added a product tour that explains various features and settings. This will appear on the first run of the product and can be accessed from the ‘Help’ menu.
The new A.I. Gigapixel from Topaz is being released today as an app for upsizing pixel-challenged images or monster-sizing RAW ones. Beta testers are commenting that it beats the current market leaders in resampling quality. https://lastwalk562.weebly.com/how-to-win-blackjack-every-time.html.
About A.I. Gigapixel
From the press release: Topaz A.I. Gigapixel is a standalone application made for batch resizing your images (it is not a plug-in or Topaz Studio adjustment). It uses the power of Topaz’s proprietary Artistic Intelligence engine to make upscaled images sharper and clearer than traditional upscaling tools which use “interpolation” (bi-cubic, Lanczos, fractal, etc.). These traditional methods produce images that are blurry, unrealistically painterly and lack the details that are present in real high-resolution images.
A.I. Gigapixel is the first desktop application to use the power of Deep Neural Networks to realistically enlarge your images up to 6x.
The unsurpassed quality of A.I. Gigapixel can enlarge full-size RAW images to over a gigapixel in size. It can also enlarge thumbnail images to create full-size versions that are practically identical to original high-resolution photos.
(Note:Topaz is not promoting a coupon code or discount for this release but we are! Use coupon “plugsnpixels” here to save 15%off the $99.99 retail price (this discount also applies to ALL Topaz products).
My experience (See my more recent tests for additional eye-opening results)
Experimenting with the pre-release version of A.I. Gigapixel, I went directly to my oldest digital images (slightly mushy, circa-1999, 1-megapixel, 1536 x 1014 @ 150ppi Kodak DC265 JPEGs) to see what it could do to wring some further quality out of them.
First, here is a screenshot of the summary of the settings that are available to work with. As you can see, A.I. Gigapixel is not complicated at all. First choose whether you want to scale or custom-size the image enlargement, and whether to add corrective enhancement or not. Next, choose an output format with related batch or individual settings, and finally set the output parameters:
The test
Hint:Right-click and open these images in a new browser tab to see them at actual size, where the results are more accurate. Navicat for mariadb 12 0 22 download free.
My first attempt was with a photo of a fountain statue, shown here in a Photoshop screenshot as follows: Original at left @ 100%, a 200% enlargement and a 400% enlargement (both saved out of A.I. Gigapixel and shown at 100%, though your device might downsize my examples). As I said above, these late-’90s 1-megapixel images are a bit mushy at best, but A.I. Gigapixel did a fine job of enlarging the subject data that was present while maintaining the level of detail that was there.
Here is another image taken with the same Kodak around 1999, with the original at left at 100% and a portion of the 600% A.I. Gigapixel enlargement at right, also shown at 100% in this Photoshop screenshot:
For fun I enlarged the original in Photoshop to a 600% screen view (not an interpolation) so you could see the actual improvement A.I. Gigapixel provided (at its 600% scale setting) compared to the original pixel data:
I think A.I. Gigapixel did a fantastic job with the water, given how little data it had to work with, and the curves and lines of the architecture look much better as well.
The competition!
On the photo forums, people are asking how A.I. Gigapixel compares to Photoshop’s new “Preserve Details 2.0” Image Size feature. So I pulled out a 2007, 4-megapixel image and worked at a 600% enlargement. First, here is a reduced version of the original so you can get perspective:
And here are a few comparison enlargements from various areas of this image, with Photoshop CC 2018 latest build’s results on the left and A.I. Gigapixel’s on the right (100% screenshots as seen inside Photoshop):
Now off to CalTech (with another late 1990’s 1-megapixel shot, shown here in reduced size for reference):
This time we’ll give Photoshop a better chance, using both Preserve Details 2.0 and 10% noise reduction, with Topaz Gigapixel on the bottom (with Enhance Image checked), 400% enlargement:
Here’s a final example, a 2008, 6-megapixel image, shown here in its entirely (reduced):
And again, with the 600% enlargement treatment, Photoshop on the left, A.I. Gigapixel on the right:
WOW!
Be sure to grab the 30-day trial and give A.I. Gigapixel a spin on your own data-challenged images, or even bump your RAW images up to gigapixel size!
System requirements
I did the examples and screenshots above on a 2013 i7 MacBook Air (8 gigs RAM, and just meeting the minimum graphics spec). It handled even the beta version of A.I. Gigapixel just fine, though a bit slowly of course. Tip: Dedicated graphics cards are always better for digital imaging app performance (as opposed to integrated cards such as the Air’s).
Here are the official requirements:
A.I. Gigapixel is compatible with 64-bit Windows 7+ and Mac OS X 10.11+. It also requires a GPU with OpenGL 3.3 or later (Intel HD5000 or better, Nvidia GTX 760 or better, AMD R9 280 or better).
(Note:Topaz is not promoting a coupon code or discount for this release but we are! Use coupon “plugsnpixels” here to save 15%off the $99.99 retail price (this discount also applies to ALL Topaz products).
Your purchase of any software through the Plugs ‘n Pixels website or this blog gets you the best deal available and also helps generate a small commission to help keep these resources online. Sidify music converter for spotify 1 4 0 audio. Please subscribe above to receive automatic notifications of any new posts. Thanks again!
Topaz JPEG to RAW AI 2.2.0 (x64) Pre-Activated | 221.36 MB
Information: https://rocamisa1982.mystrikingly.com/blog/studio-fix-powder-plus-foundation-nw20.
Edit JPEG as if you shot it in RAW. Use machine learning to convert JPEG to high-quality RAW for better editing. Prevent banding, remove compression artifacts, recover detail, and enhance dynamic range.
Fix artifacts, restore dynamic range, and recover detail
JPEG to RAW AI is highly effective at removing compression artifacts and recovering color detail. Note the additional fine detail in the top right and bottom of the image. There’s also enhanced dynamic range as shown by deeper shadows and enhanced highlights.
Made possible by AI
Thereâs normally no way of recovering lost detail. JPEG to RAW AI is currently the only machine-learning powered software capable of doing this.
Simple workflow
Whenever you would edit a JPEG, put it through JPEG to RAW AI first for best editing results. Standalone application for Mac + Windows that allows batch processing.
Constantly improving
Weâre continually training our JPEG to RAW conversion model with more data, which makes it better the more time passes. Youâll get the latest and greatest when the model improves.
Dynamic range
Your image loses significant dynamic range when it’s converted to JPEG. JPEG to RAW AI helps you recover a portion of this lost dynamic range by bringing back lost shadow and highlight details. While you won’t be able to completely missing details, it can work with even very small amounts of information. This allows you to be more aggressive with editing your photo’s exposure or contrast. If you ever think that you’ve blown out a sky and you don’t have the original RAW file, try running it through JPEG to RAW AI first.
Color space
Color space represets the range of color that is supported in your image. JPEG images are usually in the sRGB color space, which works great for web but less for printing and editing. When editing a photo in sRGB, adjusting saturation or vibrance will often reveal ugly color blotchiness.
You can prevent this from happening by running it through JPEG to RAW AI. JPEG to RAWâs machine learning models expand the sRGB colorspace to ProPhoto RGB, which is even better than a regular RAW file! This works so well because there is usually enough information in at least one color channel for our models to reconstruct missing detail with a high level of preciseness. The larger resulting color space allows you to better edit saturation and vibrance without any visible artifacting.
Color depth
Color depth (also called bit depth) is how much color information the image can store. When editing an image with low bit depth, you will see color banding in smooth gradients like skies.An 8-bit JPEG only has 256 values per channel. Running that JPEG through JPEG to RAW AI will expand it to 65,532 values per channel. This will prevent posterization and banding when you adjust the contrast in your images.
Artifacts
You’ll see visible compression artifacts in your image when editing highly compressed images. JPEG to RAW AI is exceptional at removing these artifacts while preserving natural image features: Artifacts wonât be easily visible in high-quality JPEGs, but they can completely ruin an image if they are. Theyâll also get accentuated by post-processing, especially sharpening. Run your images through JPEG to RAW AI to ensure artifacts don’t impact your workflow.
Detail level
JPEGs will often feature smoothed details due to a small sensor or heavy processing. For example, iPhone photos are heavily processed before being saved, which sometimes ends up removing a lot of image detail. JPEG to RAW AI helps you recover fine detail removed during the conversion process.
System Requirements:
– Windows 7 x64
– Windows 8/8.1 x64
– Windows 10 x64
– OpenGL 3.3
– RAM: 8GB (16GB recommended)
– GPU RAM: 2GB (4GB recommended)
– GeForce GTX 1070M 4GB
– R9 M460 4GB
Whats new in Topaz JPEG to RAW AI 2.2.0:
Fixes:
– Improved Metadata Support
– When hoveri
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