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.
An example of dithering using random noise. Top to bottom: original gradient, quantised after dithering, quantised without dithering.
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这则消息如同一枚震撼弹，瞬间搅动了沉寂已久的中国游艇产业。
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mergeSortRecursive(arr, mid, right); // 排序右半部分。搜狗输入法2026对此有专业解读