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Scaling
Starting with version 0.4, the Cocoa version of SameBoy supports several GPU-accelerated scaling algorithms, some of which made their premiere at SameBoy. This document describes the algorithms supported by SameBoy.
General-purpose Scaling Algorithms
Common algorithms that were not made specifically for pixel art
Nearest Neighbor
A simple pixelated scaling algorithm we all know and love. This is the default filter.
Bilinear
An algorithm that fills "missing" pixels using a bilinear interpolation, causing a blurry image
Smooth Bilinear
A variant of bilinear filtering that applies a smooth curve to the bilinear interpolation. The results look similar to the algorithm Apple uses when scaling non-Retina graphics for Retina Displays.
The ScaleNx Family
The ScaleNx family is a group of algorithm that scales pixel art by the specified factor using simple pattern-based rules. The Scale3x algorithm is not yet supported in SameBoy.
Scale2x
The most simple algorithm of the family. It scales the image by a 2x factor without introducing new colors.
Scale4x
This algorithm applies the Scale2x algorithm twice to scale the image by a 4x factor.
Anti-aliased Scale2x
A variant of Scale2x exclusive to SameBoy that blends the Scale2x output with the Nearest Neighbor output. The specific traits of Scale2x makes this blend produce nicely looking anti-aliased output.
Anti-aliased Scale4x
Another exclusive algorithm that works by applying the Anti-aliased Scale2x algorithm twice
The OmniScale Family (beta)
OmniScale is an exclusive algorithm developed for SameBoy. It combines pattern-based rules with a unique locally paletted bilinear filtering technique to scale an image by any factor, including non-integer factors. The algorithm is currently in beta, and its pattern-based rule do not currently detect 30- and 60-degree diagonals, making them look jaggy.
OmniScale
The base version of the algorithm, which generates aliased output with very few new colors introduced.
Anti-aliased OmniScale
A variant of OmniScale that produces anti-aliased output using 2x super-sampling.