Layer: Versatile Pixel Workbench
The Layer module is an extremely flexible pixel workbench for advanced image manipulation and pixel math, complementing StarTools' other modules.
It was created to provide you with a nearly unlimited arsenal of implicit functionality by combining, chaining and modulating different versions of the same image in new ways.
Features like selective layering, automated luminance masking, a vast array of filters (including Gaussian, Median, Mean of Median, Offset, Fractional Differentation and many, many more) allow you to emulate complex algorithms such as SMI (Screen Mask Invert), PIP (Power of Inverse Pixels), star rounding, halo reduction, chromatic aberration removal, HDR integration, local histogram optimization or equalization, many types of noise reduction algorithms and much, much more.
You may also be interested in...
- White balancing in MaxRGB mode (under How to determine a good color balance)
If we see large areas of green, we know that we have too much green in our image and we should adjust the bias accordingly.
- Usage (under Bin)
By pooling 4 pixels, the final resolution is also reduced by a factor of 4.
- Masks (under Features & Documentation)
If you just loaded an image, all pixels in the whole image will be set in the mask, so every pixel will be processed by default.
- Inter-channel Entropy-driven Detail Enhancement (under Features & Documentation)
The Entropy module is a novel module that enhances detail in your image, using latent detail cues in the color information of your dataset.
- usage (under Heal)
This may be useful for manipulation of the image in the Layer module (for example subtracting the healed image from the original image).