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面向网页浏览的彩色图像质量自动调整策略

Automatic Improvement of Color Image Quality for Webpage Browsing

  • 摘要: 研究如何在最少的人工干预下最大限度地改善图像质量.通过分析影响彩色图像质量的客观因素,制定了质量自动调整的目标和原则,给出其处理流程,并详细描述了包括偏色去除、对比度增强、亮度调整、色度调整、清晰度调整在内的具体算法.该算法适用于面向网络浏览的图像处理,具体实例分析表明其成功率高达90%.

     

    Abstract: The thesis focuses on how to improve image quality with least manual work and best effect.It analyzes the factors affecting color image quality.Based on them it discusses the objective and principles of automatic quality adjustment.And then it describes the processes including redundant color subtraction,contrast enhancement, brightness optimization,hue adjustment and clarity improvement in detail.The algorithm is suitable to webpage browsing.A large amount of cases show that its success rate reaches 90%.

     

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