Color Image Enhancement with a Human Visual System
2016-08-23
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Image enhancement technology is one of the basic technologies in the field of image processing. The purpose of image enhancement is to improve the interpretability of information or perceive the human audience in the image, or provide better input for other automatic image processing technologies. In recent years, gray image enhancement technology has developed rapidly. These algorithms have a certain effect of gray image enhancement. However, we usually deal with color images in our daily life. Due to many factors, such as the limited dynamic range, the influence of lighting and the display device, the quality of the image obtained decreases, which means that many important information is difficult to be told to the eyes. At the same time, it is not suitable for direct use of gray image enhancement technology of color image. Therefore, we need to develop color image enhancement technology to deal with the problem. Compared with gray image, color image still has color information, so the color image is more vivid than gray image. Now, many color image enhancement algorithms have been proposed based on the characteristics of human vision. Retinex is an effective technology for color image enhancement, which can produce good enhancement effect. However, the enhanced image has color distortion and complicated calculation. A robust color image enhancement algorithm. The algorithm can improve the color image without distortion, but the edge of the color image can not be handled well. The algorithm uses Gaussian filter to estimate the background image. Gaussian kernel function is isotropic, which will lead to inaccurate estimation of background image, resulting in halo phenomenon. The proposed algorithm consists of three main parts: (1) obtaining brightness image and background image, (2) adaptive adjustment, (3) color restoration.
matlab
基于
滤波
图像
增强
人类
视觉
系统
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