Ebner Marc, Tischler German, Albert Jürgen
Universität Würzburg, Lehrstuhl für Informatik II, Am Hubland, 97074 Würzburg, Germany.
IEEE Trans Image Process. 2007 Nov;16(11):2697-706. doi: 10.1109/tip.2007.908086.
The human visual system is able to perceive colors as approximately constant. This ability is known as color constancy. In contrast, the colors measured by a sensor vary with the type of illuminant used. Color constancy is very important for digital photography and automatic color-based object recognition. In digital photography, this ability is known under the name automatic white balance. A number of algorithms have been developed for color constancy. We review two well-known color constancy algorithms, the gray world assumption and the Retinex algorithm and show how a color constancy algorithm may be integrated into the JPEG2000 framework. Since computer images are usually stored in compressed form anyway, little overhead is required to add color constancy into the processing pipeline.
人类视觉系统能够将颜色感知为大致恒定的。这种能力被称为颜色恒常性。相比之下，传感器测量的颜色会随所使用的光源类型而变化。颜色恒常性对于数字摄影和基于颜色的自动目标识别非常重要。在数字摄影中，这种能力被称为自动白平衡。已经开发了许多用于颜色恒常性的算法。我们回顾两种著名的颜色恒常性算法，即灰色世界假设和视网膜皮层算法，并展示如何将颜色恒常性算法集成到JPEG2000框架中。由于计算机图像通常无论如何都是以压缩形式存储的，因此在处理流程中添加颜色恒常性所需的开销很小。
