视频处理器中的一种新的彩色图像增强方法

LED显示屏显示图像之前,视频图像通常用视频处理器进行图像增强等操作。本文考虑到视频处理器在RGB彩色图像变换时可能产生的彩色失真情况,提出一种自适应的灰度变换算法,此算法将原始的RGB彩色图像和经过灰度变换后的RGB彩色图像转换到HSB彩色空间,然后将两者的色调与亮度分量进行重组,再对其饱和度进行补偿。这种方法的优点是既保证了原始彩色图像在进行灰度变换后的灰度细节,又能保证其彩色细节,同时提高了原始彩色图像的对比度。另外,此算法计算量小,利于硬件的实时实现。

A Kind of Strengthens Method for Colorful Image in the Video Processor

Before the image displayed on the LED screen, it is usually enhanced in the video processor. In this paper, considered to color distortion of the RGB color image is generated when transformation, we put forward a kind of adaptive gray-scale transform algorithm, This algorithm transform the original color image and the gray-transformed RGB color image to the HSB color space, restructure the hue of the original image and the brightness of the grey-transformed and then compensate the saturation. The advantages of this method is not only ensure gray details of the original color images, and can ensure the color details, and meanwhile improve the contrast of original color image. In addition, the algorithm is easy to real time realize for the hardware.