西安电子科技大学学报

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COPLIP新模型及其图像增强新算法

冯玉颖;王俊平;马塾亮;李超;伍尧   

  1. (西安电子科技大学 通信工程学院,陕西 西安 710071)
  • 收稿日期:2016-12-02 出版日期:2018-02-20 发布日期:2018-03-23
  • 作者简介:冯玉颖(1991-),女,西安电子科技大学硕士研究生,E-mail: 1159869196@qq.com
  • 基金资助:

    国家自然科学基金资助项目(61173088);西安市科技攻关计划资助项目(CX1248⑤);高等学校学科创新引智计划(“111计划”)资助项目(B08038)

New COPLIP model and its image enhancement algorithm

FENG Yuying;WANG Junping;MA Shuliang;LI Chao;WU Yao   

  1. (School of Telecommunications Engineering, Xidian Univ., Xi'an 710071, China)
  • Received:2016-12-02 Online:2018-02-20 Published:2018-03-23

摘要:

针对现有对数模型在彩色图像领域的瓶颈问题,把带参数的对数模型扩展到彩色图像,提出一种带参数的彩色对数图像处理新模型,定义了新模型的彩色色调函数,加、数乘、取反运算和基本同态函数.为了验证其有效性,设计了基于新模型的图像增强新算法,色调函数的评价结果表明,新模型在图像增强上具有更好的效果,与人类的视觉模型更加匹配,能选取更多的参数来调整图像中感兴趣的部分.

关键词: 对数模型, 带参数的彩色对数图像处理, 彩色图像, 图像增强

Abstract:

This paper proposes a new model of color parameterized logarithmic image processing (COPLIP), in view of the existing logarithmic bottleneck in the field of the color image processing model, extending the parameters of the logarithmic model to color images. The color tonal function of color images, operations of addition, multiplication and invertion and the concept of fundamental homomorphism function are defined. In order to verify the validity of the COPLIP model, this paper designs an image enhancement algorithm based on the model with a good effect. Experiments show that the new model proposed in this paper can not only match the human visual model, but also select more parameters to get the interested parts in the image.

Key words: logarithmic model, color parameterized logarithmic image processing(COPLIP), color images, image enhancement

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