摘要
为了提升此类图像的整体柔和度与逼真效果,提出了不同光照强度下的园林景观设计图像优化方法。通过获取到的离散小波变换对不同光照强度下的园林景观设计图像实施门限去噪处理,保留图像内的关键信息;采用Sigmod函数对去噪后图像实施增强处理,提升图像质量,达到符合人眼视觉感受的目的;选用自适应非线性变换修正方法对增强后图像实施光照补偿处理,分别修正图像中的光照过暗、过亮及中间灰度区域,获得光度自然柔和的设计图像,实现对园林景观设计图像的优化。实例结果表明,该方法具有较好的去噪效果,去噪后图像的平均峰值信噪较高,图像更逼真;图像增强性能好,可明显提升图像的视觉感受与质量;整体优化效果显著,优化后图像光度自然柔和,层次感清晰,能够实现对不同光照强度下园林景观设计图像的有效优化。
The method of landscape image optimization under different illumination intensity is studied to improve the overall softness and realistic effect of such images. The threshold denoising is carried out by discrete wavelet transform under different illumination intensity to preserve the key information in the image. Sigmod function is used to enhance the denoised image and improve the image quality,so as to achieve the purpose of meeting the visual perception of human eyes. The adaptive nonlinear transform correction method is adopted to implement the illumination compensation processing for the enhanced image,and the illumination too dark,too bright and the middle gray area are respectively corrected in the image,so as to obtain the design image with natural soft luminance and realize the optimization of the landscape design image. Example results show that this method has better denoising effect,the average peak signal noise of the denoised image is higher,and the image is more realistic. The image enhancement performance is good,which can obviously improve the visual perception and quality of the image. The overall optimization effect is remarkable. After the optimization,the brightness of the image is naturally soft and the layering is clear,which can realize the effective optimization of the landscape design image under different illumination intensity.
作者
张毅
姚红媛
ZHANG Yi;YAO Hongyuan(Shenyang Ligong University,Shenyang 110159,China;Shenyang University of Chemical Technology,Shenyang 110142,China)
出处
《激光杂志》
CAS
北大核心
2021年第9期144-149,共6页
Laser Journal
基金
辽宁沈阳科研课题(No.SYSK2020-08-02,SYSK2020-12-04)。
关键词
不同光照强度
园林景观
设计图像
小波变换
增强处理
光照补偿
different light intensity
landscape gardens
design image
wavelet transform
enhancement treatment
illumination compensation
