Color Image Processing Based on the Concept of Vector Signal Processing

彩色图像信号是矢量信号。每个点由红、绿、蓝三部分组成。通常，彩色图像处理是通过灰度图像处理技术来完成的。每个分量都是标量信号，因此可以采用灰度图像处理技术。另一种方法是从彩色信号中提取Y分量，然后对该分量应用灰度图像处理技术。然而，矢量信号处理技术在许多处理中表现出更好的性能。在本研究中，我们展示了许多基于矢量信号处理技术的彩色图像处理方法。我们主要研究流动点。(1)彩色图像对比度增强提出了一种新的彩色信号直方图展开方法。我们同时使用RGB和HIS色彩空间进行增强。(2)彩色数字图像的超分辨率提出了彩色数字图像的超分辨率方法。(3)编码图像（如JPEG编码图像）的彩色图像处理。对JPEG和TV信号的颜色信息进行压缩编码。在解码时需要恢复这些信息。在本研究中，我们展示了如何恢复这些信息。

Color image signal is vector signal. Each point is consisted of three components as Red, Green and Blue. Generally, color image processing is performed by gray image processing technique. Each component is scalar signal, thus, we can apply gray image processing technique. Another way, we pick up Y component from color signal, then, we apply gray image processing technique to this component. However, vector signal processing technique shows better performance for a lot of processing. In this study, we show a lot of methods of color image processing based on vector signal processing technique. We mainly study about the flowing points.(1) Contrast enhancement of color imageWe proposed a novel histogram expansion for color signal. We use both RGB and HIS color spaces for enhancement.(2) Super-resolution of color digital imagesSuper-resolution method for color digital image is proposed.(3) Color image processing for coded image (e.g. JPEG coded image).Color information of JPEG and TV signals is reduced for encoding. It is necessary to recover this information when decoding. In this study, we show how to recover this information.