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  商品編號: DVD12677
  商品名稱: Topaz JPEG to RAW AI 1.0.3-jpg轉raw格式工具
  語系版本:
  運行平台:
  更新日期:
  光碟片數: 1片
  銷售價格: $100元
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Topaz JPEG to RAW AI 1.0.3-jpg轉raw格式工具
Topaz JPEG to RAW AI是一款專業的jpg轉raw格式工具,採用先進的AI技術,可以智能識別圖像的各個細節內容,快速的將JPEG格式轉化成raw格式,允許調整色彩空間、動態範圍、顏色深度、細節等參數,讓圖片轉換之後更自然。

Windows x64 | Languages: English | 

Edit JPEG as if you shot it in RAW. Use machine learning to convert JPEG to high-quality RAW for better editing. Prevent banding, remove compression artifacts, recover detail, and enhance dynamic range.

Fix artifacts, restore dynamic range, and recover detail
JPEG to RAW AI is highly effective at removing compression artifacts and recovering color detail. Note the additional fine detail in the top right and bottom of the image. There's also enhanced dynamic range as shown by deeper shadows and enhanced highlights.

Made possible by AI
There’s normally no way of recovering lost detail. JPEG to RAW AI is currently the only machine-learning powered software capable of doing this.

Simple workflow
Whenever you would edit a JPEG, put it through JPEG to RAW AI first for best editing results. Standalone application for Mac + Windows that allows batch processing.

Constantly improving
We’re continually training our JPEG to RAW conversion model with more data, which makes it better the more time passes. You’ll get the latest and greatest when the model improves.

Dynamic range
Your image loses significant dynamic range when it's converted to JPEG. JPEG to RAW AI helps you recover a portion of this lost dynamic range by bringing back lost shadow and highlight details. While you won't be able to completely missing details, it can work with even very small amounts of information. This allows you to be more aggressive with editing your photo's exposure or contrast. If you ever think that you've blown out a sky and you don't have the original RAW file, try running it through JPEG to RAW AI first.

Color space
Color space represets the range of color that is supported in your image. JPEG images are usually in the sRGB color space, which works great for web but less for printing and editing. When editing a photo in sRGB, adjusting saturation or vibrance will often reveal ugly color blotchiness.

You can prevent this from happening by running it through JPEG to RAW AI. JPEG to RAW’s machine learning models expand the sRGB colorspace to ProPhoto RGB, which is even better than a regular RAW file! This works so well because there is usually enough information in at least one color channel for our models to reconstruct missing detail with a high level of preciseness. The larger resulting color space allows you to better edit saturation and vibrance without any visible artifacting.

Color depth
Color depth (also called bit depth) is how much color information the image can store. When editing an image with low bit depth, you will see color banding in smooth gradients like skies.An 8-bit JPEG only has 256 values per channel. Running that JPEG through JPEG to RAW AI will expand it to 65,532 values per channel. This will prevent posterization and banding when you adjust the contrast in your images.

Artifacts
You'll see visible compression artifacts in your image when editing highly compressed images. JPEG to RAW AI is exceptional at removing these artifacts while preserving natural image features: Artifacts won’t be easily visible in high-quality JPEGs, but they can completely ruin an image if they are. They’ll also get accentuated by post-processing, especially sharpening. Run your images through JPEG to RAW AI to ensure artifacts don't impact your workflow.

Detail level
JPEGs will often feature smoothed details due to a small sensor or heavy processing. For example, iPhone photos are heavily processed before being saved, which sometimes ends up removing a lot of image detail. JPEG to RAW AI helps you recover fine detail removed during the conversion process.
Release Notes:

First Release:
A new product from Topaz Labs to convert JPEG to high-quality RAW for better editing. Prevent banding, remove compression artifacts, recover detail, and enhance dynamic range.
System Requirements:
- Windows 7 x64
- Windows 8/8.1 x64
- Windows 10 x64
- OpenGL 3.3
- RAM: 8GB (16GB recommended)
- GPU RAM: 2GB (4GB recommended)
- GeForce GTX 1070M 4GB
- R9 M460 4GB