摘要
直方图均衡化能够调节图像的动态灰度范围,是一种经典有效的图像增强方法,但它建立在合并相似像素灰度的基础之上,模糊了图像的细节。强调细节的自适应图像均衡化(DEAHE)不但保持了图像均衡化具有动态范围调节的优点,而且也可以放大图像细节。考虑到档案图像在数码化过程种可能受噪声的干扰,DEAHE方法在强调图像细节的同时,也放大了噪声,因此,本文提出一种改进的DEAHE方法,即IDEAHE方法,它使得增强后的档案图像噪声得到抑制、图像细节得以放大、整幅图像的灰度范围得到调节。实验表明,经过IDEAHE方法增强后的档案图像,其主观视觉效果改善明显,可用于实际的数码档案生产过程中。
Histogram equilibrium （HE） of image can extend the image＇s grey range. It＇s a classic and efficient method of image enhancement. But this method can blur image also, because of the algorithm is constructed by the basis of combination of similar grey pixels. Detail emphasized adaptive histogram equilibrium （DEAHE） has not only holding the advantage of HE-extend the grey range, but also amplifying image detail. Due to some noises were added to the images in the document digitalization procedure, so DEAHE amplified the noises simultaneously while it amplified the image detail. Therefore, we proposed an improved DEAHE method, called IDEAHE, to suppress noise, to amplify the image detail, and to adjust the grey range of the image The experiments show that the IDEAHE method could improve the document image visually. It＇s an alternative method of image enhancement in digital document image producing.
出处
《计算机科学》
CSCD
北大核心
2007年第5期237-239,共3页
Computer Science
基金
重庆师范大学科研项目资助(编号:06XLY026)
关键词
档案图像
直方图均衡化
自适应
图像增强
Document image, Histogram equilibrium, Adaptive, Image enhancement
