电子学报 ›› 2015, Vol. 43 ›› Issue (2): 377-382.DOI: 10.3969/j.issn.0372-2112.2015.02.026

• 科研通信 • 上一篇    下一篇

PSLIP新模型及在边缘检测和图像增强中的应用

张广燕, 王俊平, 邢润森, 白建民, 许丹, 曹洪花   

  1. 西安电子科技大学通信工程学院, 陕西西安 710071
  • 收稿日期:2013-04-10 修回日期:2014-02-23 出版日期:2015-02-25
    • 作者简介:
    • 张广燕 女,1987年8月出生于甘肃定西.硕士研究生.主要研究方向为图像/视频处理及应用. E-mail:zh_gy_358@126.com;王俊平 女,1964年出生于陕西渭南.西安电子科技大学教授.主要研究方向为多媒体通信、图像/视频处理及应用.
    • 基金资助:
    • 国家自然科学基金 (No.61173088); 西安市科技计划基金 (No.CX1248⑤)

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

ZHANG Guang-yan, WANG Jun-ping, XING Run-sen, BAI Jian-min, XU Dan, CAO Hong-hua   

  1. School of Communication Engineering, Xidian University, Xi'an, Shaanxi 710071, China
  • Received:2013-04-10 Revised:2014-02-23 Online:2015-02-25 Published:2015-02-25
    • Supported by:
    • National Natural Science Foundation of China (No.61173088); Xi'an Science and Technology Project Fund (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.

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

Abstract:

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 show that it outperforms available logarithmic image processing model in both respects.

Key words: logarithmic image processing, parameterized symmetric logarithmic image processing(PSLIP), edge detection, image enhancement

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