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.
“干眼虽然常见,但并不是不可防。”张明昌说,“内因如劳累、用眼习惯等,是可以主动突破改变的部分。”
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