I am using APS-C or full-frame at base ISO though if you're using a noisy source image I could see DxO being a better starting point. However, it's really only worth using Gigapixel if you need more than 2x enlargement up to that point, it's not noticeably better than simple bicubic.įunnily enough I use it precisely for 2x enlargement, and my experience is that it does significantly better from raw files in that scenario. Although Topaz recommends using its tools directly in raw images, they just aren't very good at raw development. I get the best results overall using PhotoLab for development (including DeepPRIME), followed by Gigapixel and finally Sharpen AI. I'm just starting out with those filters, so any experience from others is worth looking into.
Unfortunately Gigapixel doesn't correct CA, or any other lens aberrations. Noisy images will probably be best taken via DeepPRIME first.ĭo try my method though, I get better detail starting with Gigapixel than I do starting with DxO. With AI Gigapixel, you can enlarge raw full-size images to a size of more than a gigapixel. Image 3 is sharper and the colors seem richer and it looks superior to Image 2. VERDICT: AI Gigapixel is used when you need to enlarge digital photos for printing in large sizes, improve the resolution of old photos, or if you need to expand the scale of the cropped image. View: original size Image 2 and 3 turned out very differently. Once resized, the TIFF file was imported into Lightroom and exported as a JPEG file. The same resizing settings were used and image 2. I think the best workflow will depend on the starting image. Instead, the RAW was loaded directly into Gigapixel AI. My response was based on my own testing, but I was starting with dSLR images taken at base ISO. Different to how Topaz recommends their usage order. There are probably many different ways folks use these filters. If you're starting with a raw file, use Gigapixel to process and upscale.
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