基于二维粒子群的视觉传达图像对比度增强

Contrast Enhancement of Visual Communication Image Based on Two-Dimensional Particle Swarm

由于当前已有方法未能对视觉传达图像进行去噪处理,导致图像对比增强效果较差。提出一种基于二维粒子群的视觉传达图像对比度增强方法,将小波变换和多尺度边缘检测方法相结合,根据小波分解的特性对图像进行去噪处理,避免由阈值处理导致的噪声图像内部信息丢失。利用粒子空间对称分布原理和禁忌搜索算法对传统粒子群算法进行改进,形成二维粒子群,结合二维粒子群对视觉传达图像对比度进行增强处理。仿真结果表明,增强处理后图像的内部结构、轮廓特征和细节信息更加清晰,视觉效果得到了提升,说明所提方法能够获取较为满意的对比度增强效果。

Generally,the enhancement effect of image enhancement methods is poor due to the lack of image de-noising.We report a visual communication image contrast enhancement method based on two-dimensional particle swarm optimization.According to the characteristics of wavelet decomposition,wavelet transform and multi-scale edge detection methods were used to de-noise images for avoiding the loss of internal information of noisy images caused by threshold processing.The principle of particle space symmetrical distribution and tabu search algorithm were utilized to improve the traditional particle swarm optimization algorithm to form two-dimensional particle swarm optimization.Simultaneously,the contrast of the visual communication image was enhanced by two-dimensional particle swarm optimization.The simulation results show that this method improves the visual effect of the image.