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Autor Tópico: DxO PhotoLab 7 ELITE Edition 7.6.0.55 macOS  (Lida 57 vezes)

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DxO PhotoLab 7 ELITE Edition 7.6.0.55 macOS
« em: 24 de Outubro de 2024, 08:30 »
DxO PhotoLab 7 ELITE Edition 7.6.0.55 macOS


Language: Multilingual | File size: 758 MB

DxO PhotoLab provides a complete set of smart assisted corrections that you can manually fine-tune at any time. Take control on every aspect of your photos: effectively remove noise, get rid of light constraints, recover color details, apply sophisticated optical corrections, and enhance details.


Reducing digital noise in RAW images is an ongoing challenge for most photo-editing software. But with DxO DeepPRIME we are breaking new ground. The first artificial intelligence-based (AI) technology of its kind, DeepPRIME enables you to demosaic and denoise images simultaneously. Try it out - the results speak for themselves.
Demosaicing and denoising are usually two separate processes. But with DxO DeepPRIME we've combined them to achieve even better results.
The outcome is spectacular. DxO DeepPRIME removes noise and renders photographic information without reducing color detail. Transitions are smoother and more natural, and you gain nearly two ISO sensitivity values compared to our earlier version, DxO PRIME, the benchmark software for all comparable programs currently available.
If you are an expert photographer, DxO DeepPRIME will open up a world of new possibilities by enabling you to shoot at very high sensitivities. As an amateur photographer, DeepPRIME will allow you to compensate for the drawbacks of small sensors in compact and bridge cameras that produce digital noise even at low ISO sensitivities. And if you're struggling with low quality, or older-generation cameras that are no longer suitable because of the scale of digital noise, DxO DeepPRIME will give your images a new lease of life.
"Release Notes"
Updates: official site does not provide any info about changes in this version

Supported Operation Systems
macOS 12.6 or later
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https://www.dxo.com
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rapidgator.net:
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