PSLIP新模型及在边缘检测和图像增强中的应用  

A New PSLIP Model and Its Application in Edge Detection and Image Enhancement

作　　者：张广燕[1] 王俊平[1] 邢润森 白建民[1] 许丹[1] 曹洪花[1] 

机构地区：[1]西安电子科技大学通信工程学院,陕西西安710071

出　　处：《电子学报》2015年第2期377-382,共6页Acta Electronica Sinica

基　　金：国家自然科学基金(No.61173088);西安市科技计划基金(No.CX12485)

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 processing 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 interesting parts of the image but also simultaneously processes the reflected light image and the transmitted light image. In order to verify 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 showthat it outperforms available logarithmic image processing model in both respects.

关 键 词：对数图像处理 参数对称的对数图像处理 边缘检测 图像增强 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]