PSLIP新模型及在边缘检测和图像增强中的应用

摘要

对数图像处理模型已形成并应用于图像处理的各个方面。本文提出一种参数对称的对数图像处理（PSLIP）新模型。该模型建立了一种可以处理图像负值部分带参数的对称结构。同时该模型不仅能够对图像中感兴趣的部分进行自适应调整，而且能够处理反射光图像和透射光图像。为了验证PSLIP模型的有效性，将其应用于边缘检测和图像增强中，形成PSLIP边缘检测和PSLIP图像增强算法。实验结果表明，其效果均优于现有对数图像处理模型。%The logarithmic image processing model is becoming increasingly important and being widely used in image pro-cessing field .This paper presents a novel parameterized symmetric logarithmic image processing (PSLIP ) model which establishes a parameterized symmetric structure processing negative parts of the image .The proposed model not only adaptively adjusts the inter-esting parts of the image but also simultaneously processes the reflected light image and the transmitted light image .In order to veri-fy the validity of PSLIP model ,it is applied to edge detection and image enhancement ,and forms PSLIP-Laplacian edge detection and PSLIP-image enhancement algorithm .The experimental results show that it outperforms available logarithmic image processing model in both respects .