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Indeed, most upscaling programs offer a slightly modified version of the original by adjusting the edge contrast and the picture's sharpness. The goal is to enlarge a picture and preserve quality, which is a difficult thing to do. Gigapixel AI offers performant upscaling for all kinds of pictures. It uses machine learning technology to maintain accuracy and upscale your pictures' quality at the highest standards.

Unselecting and reselecting the current image in the file list can fix this issue.Gigapixel AI is a tool meant to help you get the clearest image quality after considerably enlarging the original.

Renamed Reduce Color Bleed to Gamma Correction, to better describe its function.

Fixed PPI being ignored when opening images from external editor.

Added more specific information to error messages.

Fixed various errors during batch processing.

Fixed processing errors on certain images when using face recovery.

Fixed transparency handling in Photoshop plugin.

Fixed many causes of Photoshop plugin not being found, returning errors, or not opening the app.

Greatly improved face recovery memory usage and performance.

Fixed face recovery using CPU too often on systems with mid-range GPUs.

Enabled automatic fallback to face refinement (introduced in v5.9) on machines that do not support face recovery (introduced in v6.1).

Improved the quality of all models by better preserving colors and removing color related block-shaped artifacts.

This can streamline batch processing and offer a starting point for further tuning. Added auto model selection, which uses image content to compute a recommended model.Topaz is currently offering a stacked discount on their Image Quality Bundle which qualifies users to access the upcoming Photo AI. My architecture-themed source samples were taken from early-2000's lo-res 4-megapixel images. Gigapixel can be used for noise reduction, sharpening, facial enhancement and (especially) up to 6X image enlargement. Today Topaz released v6.2.0 of their flagship app, Gigapixel AI.