基于图像处理技术的视觉传达优化方法研究

Research on visual communication optimization method based on image processing technology

针对传统图像处理技术提升数字图像视觉传达效果不佳的问题,文中提出基于图像处理技术的视觉传达优化方法。在HSV颜色空间内对低光照的图像进行增强,引入复小波变换(DT-CWT)来改进离散小波变换(DWT)由于位移不变性造成的方向性系数的不敏感。此外,该方法还根据人类视觉对于颜色感知的敏感度,对HSV空间中的V通道进行重建。在传统的多尺度Retinex(MSR)算法上进行改进,使用引导滤波器替代MSR中的高斯滤波器。对于图像的边缘细节进行了更优的保留,保证算法在低通子带中的对比度。为了评估所提算法的视觉传达效果,以MSR算法作为参照,进行仿真分析。由仿真效果图可以看出,该文算法的视觉传达效果明显优于对比算法,而且所提算法对图像各参数的提升均较为理想。

As the traditional image processing technology has no good effect in enhancing the visual communication of digital images,the visual communication optimization method based on image rsocessing technology is proposed in this paper.The images with low light are enhanced in HSV color space,and complex wavelet transform(DT⁃CWT)is introduced to improve the directivity coefficient insensitivity of discrete wavelet transform(DWT),which is caused by the invariance of displacement.In addition,the method is also used to reconstruct the V channel in the HSV space according to the sensitivity of human vision to color perception.It is improved on the basis of the traditional multi⁃scale Retinex(MSR)algorithm,and a guidance filter is used to replace the Gaussian filter in the MSR.The filter preserves the edge details of the image much better and ensures the contrast of the algorithm in the low⁃pass subband.In order to evaluate the visual communication effect of the proposed algorithm,a simulation analysis was carried out with the MSR algorithm as a reference.It can be seen from the simulation renderings that the visual communication effect of the algorithm proposed in this paper is much better than that of the contrasted one,and the algorithm proposed in this paper can improve all the image parameters to an ideal level.