AI is here to make our lives easier while getting stronger editing. And it’s improving on a day-to-day basis. So far, we’ve compared AI Upscaling, AI Sharpening, and AI Noise Removal. The results have been quite interesting. AI is driven by Machine Learning (ML), which is in a constant state of flux. The algorithm is constantly evolving as more training data flows in. Usually, it changes for the better, but as with any development, they sometimes just break and have to start all over again. This means that our results vary across tests and types of “retouching”. And today is no different.
The ISO capabilities in DSLRs and mirrorless cameras today is pretty amazing. But it’s not perfect. You’re still going to see an increase in noise as you ramp up the ISO, even if it’s not quite as bad as it used to be. But we all love clean, noiseless images, don’t we? Along with the improvements in ISO performance, we’ve also seen big leaps in noise reduction technology. But many of them still aren’t perfect, often eliminating noise at the expense of detail.
For some images, you really do need to keep that detail and in this video from Scott Walker at Walks on the Wild Side, we learn three different methods of noise reduction. These methods include simple Lightroom Edits, Topaz Denoise AI and a pretty complex method that’s very involved but “fixes everything”. He also covers a “Pre-noise reduction” process you can do before you bring your photo into 3rd party software.
It’s time for another software battle! So far, we’ve compared AI photo sharpening and AI photo noise reduction. Next up, is AI photo upscaling, and we’re putting Adobe Photoshop, Topaz Gigapixel AI, Skylum Luminar Neo Upscale AI, and ON1 Resize AI 2023 up against each other. Upscaling images is important for print purposes, and it even slips in with pro-stock shooters who need to create images at specific resolutions. Having AI helps us by upscaling whilst preserving details and filling in the blanks sounds great, but which software does it best?
Machine Learning and Artificial Intelligence are all around us. I firmly believe the future of photography is computational, and we currently have a whole range of companies fighting to make the best progress in AI. Here at DIYPhotography, we’re putting various elements of AI head-to-head to determine the best software on the market. We recently covered AI Noise Reduction, and today we move on to Sharpening.
Artificial Intelligence and Machine Learning are everywhere in photography now. I recently wrote about whether we should be worried about AI in photography. My conclusion is that we shouldn’t. Today I’m demonstrating the power of AI in the form of a battle, putting the leading noise removal software head-to-head. I’ve searched through my raw images to find a particularly noisy shot to work with.
Artificial Intelligence in photography is showing huge growth. We’re even seeing our social media feeds flooded with AI-created images. Just last month, we saw that an AI-generated image won first place at a fine arts competition. We’ve also seen Getty Images moving away from AI-generated images. I agree with this decision, but we also need to address the wider landscape because, quite simply, AI art isn’t going away.
Topaz Labs has launched its new program Photo AI which combines all of its most popular image tools under one umbrella. The image editing tools automatically detect and fix image quality issues using Artificial Intelligence.
According to the company, Topaz Photo AI will help photographers maximize image quality faster and more accurately than ever before. It does this by pairing its extensively trained AI models and deep learning capabilities with what it calls its Autopilot inspector resulting in improved RAW workflow options.
Topaz Labs’ Gigapixel AI has probably been the industry standard when it comes to upscaling images to massive proportions. It offers some pretty incredible abilities, claiming to let you to resize up to 600% from the original size “while perfectly preserving image quality”. Recently, Adobe announced their new Super Resolution feature, which uses AI to intelligently upsample images.
But how do the two compare with each other? Which is better? Which is faster? Are they both just as good as each other? That’s what Finnish photographer Peter Forsgård wanted to find out. So, in this video, he compares the two side-by-side on a number of images and talks about the pros and cons of each.
Topaz has recently launched its newest version of DeNoise AI, and I have tested the software on a night image. Does this latest iteration of Topaz’ noise reduction program live up to the hype? According to Topaz, DeNoise AI has received several updates and improvements.
When you run the program you can choose between two modes: manual and auto. Auto comes with only one slider (Chroma Noise). In manual mode, you can also adjust the level of sharpening and noise reduction applied. In addition, you can also decide how the program displays the changes in real-time. I have only used the split-screen option when testing the software. The real-time preview isn’t very accurate. The processed image looks quite different from what the preview suggests.
David Stoddart is a photographer and post-processing obsessive from Suffolk. He travels the Uk creating composites from his adventures, and has recently been creating a series based on planes from the world wars. Here David takes us through one of his composites.
This is one of my favourite Photoshop composites, mostly because the subject matter of the Avro Lancaster is close to my heart and also as it was quite a simple project with most of my concentration going into the lighting and shadows and not too many layers for once.