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Image enhancement technique using color and edge features for mobile Systems

机译:使用颜色和边缘特征的图像增强技术,用于移动系统

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The paper provides a method of selectively controlling the strength of image noise reduction (NR) and sharpening in regions associated with specific colors that are visually impact on the human visual system. Since NR and sharpening operation can cause undesirable edge blurring or noise boosting in flat regions, the strength is adjusted according to the edge information. The proposed algorithm takes the following three stages: (i) color-based region classification, (ii) adaptive texture-based NR and sharpening, and (iii) H/W optimization for mobile image sensor compatibility. Experiments indicate that the proposed integrated algorithm platform provides significantly better results in terms of subjective visual quality.
机译:本文提供了一种方法,可以选择性地控制图像降噪(NR)的强度并在与特定颜色关联的区域中锐化,这些特定颜色在视觉上影响人类视觉系统。由于降噪和锐化操作会在平坦区域中导致不希望的边缘模糊或噪声增强,因此会根据边缘信息调整强度。所提出的算法分为以下三个阶段:(i)基于颜色的区域分类,(ii)基于自适应纹理的NR和锐化,以及(iii)用于移动图像传感器兼容性的H / W优化。实验表明,提出的集成算法平台在主观视觉质量方面提供了明显更好的结果。

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