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A Two-dimensional Adjustment Tool for Color Image Enhancement

机译:用于彩色图像增强的二维调整工具

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摘要

One- and two-dimensional adjustment tools were tested to find ways to make the enhancement of photographic color images as easy and quickly as possible. Visually assessed image quality was defined as a function of two global image properties for various test images. The emphasis was on the brightness/contrast combination. Results showed that the location of the maximum and the shape of these (two-dimensional) quality functions varied considerably from image to image. Moreover, in many cases it proved to be difficult to attain optimum quality when image properties were adjusted separately. Often several additional iteration rounds (i.e. repetitive back and forth movement of the two sliders) were needed. To avoid this, a two-dimensional adjustment tool was developed. This tool gives the user real-time visual feedback and an opportunity to adjust two selected variables simultaneously simply by using a mouse to move a cursor on a two-dimensional plane. Two-dimensional image adjustment proved to be more efficient (i.e. faster) than two one-dimensional adjustments. Tests with brightness/contrast adjustment showed that 2-D adjustment is much quicker when the original adjustment variables are far from their optimum values and when the test person is well-trained. If the person is not well-trained, two-dimensional adjustment should be combined with automatic guidance.
机译:对一维和二维调整工具进行了测试,以找到使照相彩色图像尽可能容易和快速地增强的方法。视觉评估的图像质量被定义为各种测试图像的两个全局图像属性的函数。重点是亮度/对比度组合。结果表明,这些最大值(二维函数)的位置和形状在图像之间差异很大。此外,在许多情况下,单独调整图像属性时,很难获得最佳质量。通常,需要进行几次其他的迭代回合(即两个滑块的反复来回移动)。为了避免这种情况,开发了二维调整工具。通过使用鼠标在二维平面上移动光标,该工具为用户提供了实时的视觉反馈,并提供了同时调整两个选定变量的机会。事实证明,二维图像调整比两个一维调整更有效(即更快)。使用亮度/对比度调整的测试表明,当原始调整变量与最佳值相差甚远且测试人员训练有素时,二维调整要快得多。如果此人没有训练有素,则应将二维调整与自动引导结合起来。

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