Dept. of Electr. and Comput. Eng., Arizona Univ., Tucson, AZ.
IEEE Trans Image Process. 1994;3(6):850-4. doi: 10.1109/83.336254.
A common approach to color image processing is to apply monochrome techniques to the quantized intensity component. However, the quantization error in the intermediate intensity image propagates to the final processed image. This can lead to significant distortion, depending on the input RGB values and on the particular image processing function being applied. A theoretical analysis of the worst-case quantization error is presented. Experimental results with histogram equalization demonstrate how the histogram resolution affects the performance.
一种常见的彩色图像处理方法是将单色技术应用于量化的强度分量。然而,中间强度图像中的量化误差会传播到最终处理的图像中。这可能会导致严重的失真,具体取决于输入的 RGB 值和应用的特定图像处理函数。本文提出了一种最坏情况下量化误差的理论分析。使用直方图均衡化的实验结果展示了直方图分辨率如何影响性能。