Working in color Spaces with broad gamuts can increase the likelihood of posterization because they require more bit depth to produce the same color gradient.
具有广泛的色域色彩空间工作,可以增加,因为他们需要更多的位深度来产生相同的颜色渐变的色调分离的可能性。
This thesis introduced RGB space, CMYK space, HSV space. All these spaces, HSV space is more suitable for human to perceive color. Also, this model has good linear scalability advantages.
其中HSV空间更符合人眼感知色彩的方式,此空间模型具有线性伸缩性良好,色差与颜色分量在相应值上的欧几里德距离成比例等优点。
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