Here is another great APP Colorize Images 4.0.0 Apk for android for 4.4 and up and up. This APP listed in Photography category of Google APP store. This APP is developed by Colorize Images.
This app is easy to download and install to your mobile. Download APP by using mobile browser, then click on install, before installation process don't forget to allow app installation from unknown sources .
We are providing direct installation source from Play Store,and also providing high speed downloading source .
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Colorize Images is an automatic Machine Learning based service to colorize black and white, grayscale or nightvision photos .
Please note: If you have any questions or issues, send me a debug message by using the Report Bug feature in the app. The message includes information to help in solving the issues. Thank you!
Black and White images do not contain any clues about the correct colors. The colorization of the photos is determined by the training of the Machine Learning model, but the model does not know the context of the photos. The selected colors are not historically accurate and not necessarily correct.
The black & white photos for the colorization can be selected from the gallery, or they can be shared from the other applications such as Facebook, Twitter, Chrome or Google Photos. The colorized result images can be shared to the other applications, or saved into the gallery.
The app can be used for free by watching Ads. Subscribing the app allows unlimited number of colorizations without interruptions during the subscription period.
The service uses GPU servers to provide the colorization functionality. This means that the source images are sent to a remote location over the network, colorized there and the colorized images are then received back to the device.
For the best result, the source image is recommended to have:
• good quality
• good contrast
• good focus
• and correct orientation
The images not having all these properties may work fine, but some preprocessing (like contrast correction or sharpening) usually improves the result.
Based on DeOldify project.