【摘要】 针对传统图像感知对比度增强数学模型的图像感知对比度增强效果较差的问题,提出一种基于离散小波变换的图像感知对比度增强数学模型。利用局部均衡直方图、离散小波变换对图像进行灰度处理,利用Ostu算法对图像目标进行分割,并计算灰度分布均衡图像的感知对比度最佳阈值,实现图像感知对比度增强数学模型的构建。为了验证该数学模型的图像感知对比度增强效果,将所提模型与传统模型进行对比实验,实验结果证明该模型的图像感知对比度增强效果优于传统数学模型,说明该模型更适用于图像感知对比度的增强。更多还原

【Abstract】 In view of the poor effect of the traditional image perceptual contrast enhancement mathematical models,an image perceptual contrast enhancement mathematical model based on discrete wavelet transform is proposed. The image is processed by local equalization histogram and discrete wavelet transform,and then the image object is segmented by Ostu algorithm. The optimal threshold of perceptual contrast of gray-scale distribution balanced image is calculated to realize the construction of image perceptual contrast enhancement mathematical model. In order to verify the image perceptual contrast enhancement effect of the mathematical model,the proposed model is compared with the traditional models. The experimental results show that the image perceptual contrast enhancement effect of the proposed model is better than that of the traditional mathematical models,indicating that the model is more suitable for image perception contrast enhancement.更多还原