摘要
研究一种数字图像自适应增强的有效方法,可以减小图像细节数据损失,提高图像的自适应对比度,增强图像品质,在实际生活中具有实用效果。针对当前物联网智能感知数字图像自适应增强方法增强图像时,存在图像增强效果不好导致增强后的图像品质低、清晰度不够的问题,提出了一种基于蛙跳算法的物联网智能感知数字图像自适应增强方法。通过建立噪声数字图像分解模型,依据图像去噪步骤减小图像噪声估计,对多分辨率数字图像去噪。运用蛙跳算法确定适应度函数值,将适应度函数作为输入,利用交叉熵对适应度函数进行阈值计算,当差异度较小时,选出优秀个体进行增强,输出数字图像自适应增强图像。仿真结果证明,所提方法能够增强对比度、增强图像细节信息量、增强图像灰度分布均匀,提升数字图像质量。
An effective method for adaptive enhancement of digital image can reduce the data loss of image detail. To improve the image contrast ratio and enhance image quality has practical effect.Therefore,an adaptive enhancement method for sensing digital image in the Interact of things based on frog leaping algorithm was put forward.By establishing the decomposition model of noise digital image and reducing image noise estimation,the noise in multi-resolution digital image was reduced.In addition,the fitness function value was determined by using frog leaping algorithm,and then the fitness function was used as the input.The cross-entropy was used to calculate the threshold of fitness function.When the difference degree was small,excellent individuals were selected for the enhancement. Finally,the adaptive enhanced image of digital image was outputted.According to simulation results,the proposed method can enhance the contrast,the detail information amount of image and the gray-scale distribution of image. Meanwhile,it can improve the digital image quality.
作者
罗小青
胡荣
洪胜华
熊婷
LUO Xiao-qing;HU Rong;HONG Sheng-hua;XIONG Ting(College of Science and Technology,Nanchang University,Nanchang Jiangxi.330029,China)
出处
《计算机仿真》
北大核心
2018年第12期271-275,共5页
Computer Simulation
基金
江西省教育厅科学技术研究重点项目(151496)
江西省科技厅项目(13E106)
关键词
数字图像
自适应增强
图像去噪
对比度
适应度函数
Digital image
Adaptive enhancement
Image denoising
Contrast
Fitness function
