关键词: 分位数, 图像增强算法, 高频分量, 低频分量, 离散余弦变换

Abstract:

In order to make the details of the grayscale image more prominent, the visibility is enhanced. This paper presents an image enhancement method based on discrete cosine transform and quantile algorithm. The low frequency component of the image is extracted by discrete cosine transform, while the high frequency component remains unchanged. The quantile of the low-frequency components is subdivided to make the enhancement level of the low-frequency components involved in the enhancement process selective, and then the sub-histograms are equalized by histogram to enhance the image contrast. The processed low frequency component and the untreated high frequency component are inversely converted to obtain the enhanced image. In this paper, Mongolian furniture patterns are selected, and compared with the traditional adaptive histogram equalization algorithm and directional adaptive interpolation algorithm, this method has a better visual effect in the enhancement of Mongolian patterns, and its evaluation index is also significantly improved.

Key words: quantile, image enhancement algorithm, high frequency component, low frequency component, discrete cosine transform