The Simulation of Typical Degradations of Underwater Images and Research on Quality Estimation Methods

Abstract

为了建立完善的水声通信技术质量评价系统,准确描述和评价水下图像劣化特性有很大的实际意义。本文在分析总结水下图像劣化类型的基础上,搭建了水下图像劣化模型,并提出了劣化图像感知质量(PQoS,PerceivedQualityofService)的评测定义和预测算法。本文的主要研究工作包括: 调研、总结了水下图像在获取、传输、和处理各过程中的劣化类型和原因。重点分析了海水吸收、散射和硬件对水下光学成像的影响,水声图像压缩的必要性,以及劣化特点。 基于模板劣化模型和Jaffe-McGlamery模型进行了水下图像劣化仿真,成功模拟了光源分布、海水吸收和散射、高斯模糊、离焦模糊、运动模糊和色彩降维等...In order to construct a complete quality evaluation system for underwater communication, it is practically significant to describe and evaluate the properties of underwater image distortion precisely. Based on plenty of precedent work on analyzing and summarizing categories of underwater image distortion, underwater image distortion models have been built, and the definition and forecasting method...学位:工学硕士院系专业:信息科学与技术学院_通信与信息系统学号:2332011115316

    Similar works