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We can see that the threshold map distributes perturbations more optimally than purely random noise, resulting in a clearer and more detailed final image. The algorithm itself is extremely simple and trivially parallelisable, requiring only a few operations per pixel.

Instead of taking the nearest candidates to , we can look for a set of candidates whose centroid is close to . The N-convex algorithm works by finding the closest colour to a given target colour for iterations, where the target is first initialised to be equal to the input pixel. Every iteration the closest colour added to the candidate list, and the quantisation error between it and the original input pixel is added to the target.

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집 안 구조를 기억하는 로봇청소기가 외부 서버를 통해 노출될 수 있었다면 어떨까. 개인 개발자 한 명이 DJI 로봇청소기 통신 구조를 분석하던 과정에서 전 세계 약 7000대 기기의 데이터 응답이 확인되며 스마트홈 보안 우려가 커지고 있다. 일부 기기에서는 집 내부 평면도와 청소 위치 정보가 외부 요청에 응답할 수 있는 구조였던 것으로 드러났다.

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