摘要
传统图像对比度增强方法存在细节丢失问题,导致图像明亮位置像素失真。针对上述问题,提出新的基于Retinex亮度校正的图像细节对比度增强感知方法。利用Retinex对图像三种色彩增强,校正图像亮度。引入细节增益因子并与调整映射相结合,保护图像明亮位置对比度,抑制裁剪效应和光晕。建立高斯差分映射感知对比度,利用PCM调整对比度,完成图像细节对比度的增强感知。为验证研究方法的有效性,进行一次仿真。根据实验结果分析可知,与传统方法对比研究方法处理后的图像纹理清晰,细节丢失较少,证明了论文成果为图像领域深入研究提供可靠理论支撑。
The traditional method has the problem about detail loss, leading to the distortion of pixel in the bright area of image. Therefore, a method of contrast enhancement perception for image detail based on Retinex brightness correction was presented. Retinex was used to enhance the three colors and correct the image brightness. The detail gain factor was introduced and combined with the adjustment mapping to protect the contrast of bright area in image and thus to inhibit the shearing effect and halation. Gaussian difference mapping was established to perceive contrast, and PCM was used to adjust the contrast and thus to achieve the enhanced perception of image detail contrast. In order to verify the effectiveness of method, a simulation experiment was carried out. According to the analysis of simulation results, we can see that he image processed by the proposed method has clearer texture and less detail loss than traditional methods. This paper provides reliable theoretical support for in-depth research in the field of image.
作者
吴阳
张利平
邹莎
WU Yang;ZHANG Li-ping;ZOU Sha(Hunan University of Information Technology,Changsha Hunan 410151,China;Wuhan University of Science and Technology,Wuhan Hubei 455000,China)
出处
《计算机仿真》
北大核心
2020年第10期437-440,449,共5页
Computer Simulation
基金
湖南省哲学社会科学基金项目(18YBQ101)
湖南省教育厅科学研究项目(17C1120)。
关键词
亮度校正
饱和度
图像细节对比度
增强感知
Brightness correction
Saturation
Image detail contrast
Enhancement perception
