Due to this more measured approach, error-diffusion dithering is even better at preserving details and can produce a more organic looking final image. However, the algorithm itself is inherently serial and not easily parallelised. Additionally, the propagation of error can cause small discrepancies in one part of the image to cascade into other distant areas. This is very obvious during animation, where pixels will appear to jitter between frames. It also makes files harder to compress.
By appropriately scaling the perturbation amount for each colour channel separately, we can also extend this to work with palettes where is different for each colour component, provided that they are still regularly spaced. Unfortunately, the less regular the palette is, the less effective this technique becomes. If we wish to leverage the strengths of ordered dithering for use with irregular or arbitrary palettes, a more general solution is needed.
，更多细节参见51吃瓜
The entire pipeline executes in a single call stack. No promises are created, no microtask queue scheduling occurs, and no GC pressure from short-lived async machinery. For CPU-bound workloads like parsing, compression, or transformation of in-memory data, this can be significantly faster than the equivalent Web streams code – which would force async boundaries even when every component is synchronous.
20:25, 27 февраля 2026Ценности