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.
出处
《电子学报》
EI
CAS
CSCD
北大核心
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)
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
logarithmic image processing
parameterized symmetric logarithmic image processing（PSLIP）
edge de-tection
image enhancement
