
DxO Launches PureRAW 2: Enhanced Workflow Options and Fuji Support
DxO has announced the 2.0 update to PureRAW. It features several significant additions like support for Fujifilm X-Trans files.
DxO has announced the 2.0 update to PureRAW. It features several significant additions like support for Fujifilm X-Trans files.
Photopea has launched version 5.2 that adds support for color profiles, a CMYK mode, a new noise reduction filter, the ability to add text and strokes, and more.
ON1, an established photography software company located in Oregon, recently released its new noise reduction application called NoNoise AI. As a longtime user of Topaz Labs DeNoise AI, it only made sense to pit these two machine-learning-based noise reduction programs against each other and see which one comes out on top.
Picture Instruments, a Germany-based software company known best for its plugins for Adobe Photoshop and Lightroom Classic, has released a new plugin that promises to create clean, detailed, ultra-sharp images with incredible depth by employing a technique used by the Hubble Space Telescope team.
ON1 has announced NoNoise AI, its new state-of-the-art application for image noise removal that it says was designed to give better results than any other noise reduction application on the market.
Today, DxO launched PureRaw, an application that uses "exclusive technology" to enhance and improve RAW images by removing digital noise and lens flaws, leaving you with a cleaner and more accurate image.
After doing an astrophotography shoot and zooming in on the stars, and you may find digital noise spoiling the scene. Removal in Lightroom can result in less color in the cosmos, but using a piece of software called Starry Landscape Stacker software can make the final output much better.
Want to learn an advanced yet easy technique for reducing noise more intelligently in Photoshop? Blake Rudis of f64 Academy made this fantastic 8-minute tutorial on how you can target shadows for noise reduction using Photoshop's "Blend If" feature.
Noise reduction for night sky photos can be tricky, because the algorithms at play often reduce the sharpness of your stars while removing noise in the darkest parts of the sky. In this video tutorial, photographer Dave Morrow shows you how to avoid this issue altogether using a simple, effective editing technique.
Want to remove noise in a high ISO photo while preserving the details and textures in your shot? Here's a simple photography and Photoshop technique that lets you easily do that.
We’ve seen Photoshop’s median stacking process used before to remove tourists from photographs. Now, photographer Andy Astbury takes the time to show us how the same technique can be used to reduce noise in high ISO images. The process involves snapping a couple of the same photos and is best suited for still lifes.
Nothing can be more frustrating than taking a beautiful photograph only to later find out that it is riddled with digital noise. While digital image sensors have advanced the field of photography, they have also introduced new problems to tackle. Luckily, programs such as Adobe Lightroom can reduce the amount of noise within a photograph caused by high ISO settings or long exposures. Today, we are going to learn how to tackle noise reduction in Lightroom CC.
Noise reduction, much like sharpening, is one of those post-processing tools that is often overused or used improperly, yielding terrible results. But as Bryan O'Neill Hughes shows you in the video above, tackling noise in Photoshop can be both easy and effective just as long as you know what you're doing.
Between a recent post here on PetaPixel about the Beauty of Space Photography, and my own experiments on blending series of images using averaging techniques, I noticed some rather interesting alignments in technique.
The majority of in-camera editing and enhancing, especially on the mobile front, is done via software. Software that, according to MIT's Rahul Rithe, "consume[s] substantial power, take[s] a considerable amount of time to run, and require[s] a fair amount of knowledge on the part of the user."
In order to bypass this problem, Rithe and his team of researchers at MIT have developed a new imaging chip that can act as a photographic "jack of all trades" when it comes to taking your smartphone photos to the next level.