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COMPARATIVE PERFORMANCE ANALYSIS OF TWO PICTURE ADJUSTMENT METHODS: HSV vs. YC_bC_r

机译:两种图像调整方法的比较性能分析:HSV与YC_bC_r

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Picture adjustment is referred to those adjustments that affect the four main subjective perceptual image attributes: Hue, Saturation, Brightness (sometimes called Intensity) and Contrast--HSIC adjustments. The common method used for this type of adjustments in a display processing pipe is based on YC_bC_r color space and a 3x4 color adjustment matrix. Picture adjustments based on this method, however, leads to multiple problems such as adjusting one attribute leads to degradation of other attributes. As an alternative, other color spaces such as HSV can be used to generate more consistent and effective picture adjustments. In this paper, the results of a comparative performance analysis between the two methods based on YC_bC_r and HSV color spaces (for HSIC adjustments) are presented.
机译:图片调整是指影响四个主要主观感知图像属性的调整:色相,饱和度,亮度(有时称为强度)和对比度-HSIC调整。在显示处理管道中用于这种类型的调整的常用方法是基于YC_bC_r颜色空间和3x4颜色调整矩阵。但是,基于这种方法的图片调整会导致多种问题,例如调整一个属性会导致其他属性的退化。作为替代,其他颜色空间(例如HSV)可用于生成更一致和有效的图片调整。本文介绍了两种基于YC_bC_r和HSV颜色空间(用于HSIC调整)的方法之间的比较性能分析结果。

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