I can do (just about) anything graphic with Pixelmator Pro and it seems more intuitive than Photoshop. I still would like to figure out how to do some filters, but I know there are many more features awaiting my learning them in Pixelmator Pro. I learned a new one just yesterday as I had need-by finding the answer in a forum and applying that. There are many features in Pixelmator Pro that I do not yet use. I create book covers and detailed banners/graphics/ promotional materials for both our church and for my business using Pixelmator Pro. If you were already using Pixelmator Pro, we won't need to convince you to try these new features, if not, you're still interested in giving it a try.I do almost all my graphics on PIxelmator Pro, thought I do use Canva for quicker cut/paste creations and final rendering. Because those images that are compressed or uploaded to a lower resolution could be reused and improved in media that use larger images.įurthermore, the latest version 1.5.4 of Pixelmator Pro It is also accompanied by improvements that affect its performance in the new Apple Mac Pro or ML Denoise, a recent feature that intelligently reduces noise. And it is that, if it is compared in some sections with Adobe Photoshop, it wins demonstrating that Adobe is still asleep in certain fields.Īt a time when a lot of content is generated from what is published on social networks, this new feature can be even more interesting. This new feature of Pixelmator Pro adds great value to the app, continues to keep it as one of the best image editing tools for Mac and will make other users aware of it and attracted by its new option. That is, the final image is somewhat lighter, but that can be fixed with a bit of post-editing. What's more, based on the examples provided, the only thing that happens is that it seems that some contrast is lost. This entire data set is then analyzed and compared to the original image data to result in the final scaled image.ĭoes it really work? Yes, it's not like in CSI where they get an ultra-high definition image of something tiny -we already know what happens with fiction-, but it is true that we gain resolution without losing excessive quality. What ML Super Resolution does is generate a series of data at low and high resolution using artificial intelligence. With the use of AI and more powerful algorithms everything changes. That is, groups of pixels (two by two or in groups of several) were analyzed to generate the new ones that would be placed and would allow this increase in size and resolution. Until now, image scaling techniques made use of interpolation with some extras that "cleaned up" that final result. In the case of Pixelmator Pro, they go one step further and integrate artificial intelligence to shape this new function that they have decided to call as ML Super Resolution. How does it really work and to what extent does AI play a role? Well, as they explain, this is how the "magic" is produced that allows scaling up to three times the original resolution of an image without loss of quality, or almost. In some cases because they are more rudimentary or have not been well tuned, and in others something better thanks to the good work of the software in charge of processing and generating those non-existent pixels. For many years they have been used with more or less success. Image scaling techniques are nothing new. ML Super Resolution, from interpolation to the use of AI This could completely change the image that some of this powerful image editor still have. As? Well, thanks to the use of machine learning and advanced algorithms when processing the image. Pixelmator Pro has been updated and now offers the ability to increase the resolution of an image up to three times more compared to the original, or so they say.
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