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.
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值得一提的是,相比近期火爆的「OpenClaw」,Perplexity 强调其「全云端沙盒」隔离架构,能够确保 AI 代理在执行代码或网页交互时,其潜在的错误操作被严格限制在虚拟环境中,无法感染用户的本地设备与真实内网。
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