The Master property contains the indications to create a so called “master image” based on the original image from which the optimization happens.
In this step, a low resolution image can be up-scaled to 4x it’s original size. The algorithm for this uses machine learning, and produces very sharp contours.
Admisible values are:
- `srgan-dt-x4`: Use classic SRGAN, trained on the DIVK image dataset, with 4x upscaling. After that, a color correction step and a noise removal steps are applied to the up-scaled image. Use this value of the enumeration if you want to produce up-scaled versions of images starting from a lower resolution image which is the best you have available. - `identity`: Do not change the image, use the original value. This is the algorithm to use if you are starting from a high-resolution image and want to shrink it down to some manegeable size.