摘要： 将图像融合与亮度变换结合，提出一种图像增强的新方法。该方法利用拉普拉斯塔融合，在亮度变换中引入克隆选择算法优化参数，取得较好的增强效果。与PCA方法和小波方法相比，图像的信息熵保持在较高水平，平均梯度值分别提高3.28和0.14左右，标准差平均提高6.92和5.14左右。
关键词:
图像增强,
拉普拉斯塔,
图像融合,
克隆选择,
亮度变换
Abstract: Combining image fusion with brightness transform, a novel method of image enhancement is proposed in this paper. Laplacian Pyramid(LP) fusion is applied on source images. In brightness transform, Clonal Selection(CS) algorithm is introduced to optimize the parameter gamma. Accordingly, the better effects are obtained. Experiments clearly demonstrate the superiority of this new approach when compared with conventional PCA method and wavelets system as information entropy keeps at a high level, and average grads increase averagely about 3.28 and 0.14, respectively and standard differences increase averagely about 6.92 and 5.14, respectively.
Key words:
image enhancement,
Laplacian Pyramid(LP),
image fusion,
Clonal Selection(CS),
brightness transform
中图分类号:
杨凯峰;金海燕;石美红. 基于LP融合和亮度变换的图像增强[J]. 计算机工程, 2009, 35(15): 220-223.
YANG Kai-feng; JIN Hai-yan; SHI Mei-hong. Image Enhancement Based on Laplacian Pyramid Fusion and Brightness Transform[J]. Computer Engineering, 2009, 35(15): 220-223.