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Hue-Shift Modeling and Correction Method for High Luminance Display

机译:高亮度显示的色相偏移建模与校正方法

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The human eye usually experiences a loss of color sensitivity when it is subjected to high levels of-luminance, and perceives a discrepancy in color between high and normal-luminance displays, generally known as a hue shift. Accordingly, this paper models the hue-shift phenomenon and proposes a hue correction method to provide perceptual matching between high and normal-luminance displays. The modeling of the hue-shift phenomenon is determined by perceived hue matching experiments. To quantify the hue-shift phenomenon for the whole hue angle, 24 color patches with the same lightness are first created and equally spaced inside the hue angle for three lightness levels. These patches are then displayed one-by-one on both displays with the ratio of luminance between the two displays. Next, the hue value for each patch appearing on the high luminance display is adjusted by observers until the perceived hue for the patches on both displays appears the same visually. After obtaining the hue-shift values from the perceived hue matching experiment, these values are fit piecewise into seven sinusoidal functions to allow the shifted-hue amounts to be approximately determined for arbitrary hue values of pixels in a high luminance display and then used for correction. Essentially, the input red green blue (RGB) values of an image are converted to CIELAB values by a forward characterization model, and then, LCh (lightness, chroma, and hue) values are calculated to obtain the hue values for all the pixels. These hue values are shifted according to the amount calculated by the functions of the hue-shift model. Finally, the corrected CIELAB values are calculated from lightness, chroma, and corrected hue values, and after that, the output RGB values for all pixels are estimated by an inverse characterization model. For evaluation, an observer's preference test was performed using several test images with other hue shift results and the comparison results are shown with a z score.
机译:当人眼经受高水平的亮度时,通常会遭受色彩敏感性的损失,并且会感觉到高亮度和正常亮度显示器之间的色彩差异,通常称为色相偏移。因此,本文对色相偏移现象进行建模,并提出了一种色相校正方法,以在高亮度和正常亮度的显示器之间提供感知匹配。色相偏移现象的模型由感知的色相匹配实验确定。为了量化整个色相角的色相偏移现象,首先创建24个亮度相同的色块,并在色相角内等间隔三个亮度级别。然后,将这些色块以两个显示器之间的亮度比率一一显示在两个显示器上。接下来,观察者调整出现在高亮度显示器上的每个色块的色调值,直到两个显示器上的色块的感知色调在视觉上看起来相同为止。从感知到的色相匹配实验获得色相偏移值后,这些值将分段拟合为七个正弦函数,以允许针对高亮度显示器中像素的任意色相值近似确定已偏移的色相量,然后将其用于校正。本质上,图像的输入红绿蓝(RGB)值通过正向表征模型转换为CIELAB值,然后计算LCh(亮度,色度和色相)值以获得所有像素的色相值。这些色相值根据由色相偏移模型的功能计算出的量进行偏移。最后,从亮度,色度和校正后的色相值中计算出校正后的CIELAB值,然后,通过反特征模型估算所有像素的输出RGB值。为了进行评估,使用具有其他色相偏移结果的几张测试图像执行了观察者的偏好测试,并以z得分显示了比较结果。

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