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Content aware quantization: Requantization of high dynamic range baseband signals based on visual masking by noise and texture

机译:内容感知量化:基于噪声和纹理的视觉掩盖,对高动态范围基带信号进行量化

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High dynamic range imaging is currently being introduced to television, cinema and computer games. While it has been found that a fixed encoding for high dynamic range imagery needs at least 11 to 12 bits of tonal resolution, current mainstream image transmission interfaces, codecs and file formats are limited to 10 bits. To be able to use current generation imaging pipelines, this paper presents a baseband quantization scheme that exploits content characteristics to reduce the needed tonal resolution per image. The method is of low computational complexity and provides robust performance on a wide range of content types in different viewing environments and applications.
机译:目前正在引入高动态范围成像到电视,电影和电脑游戏。虽然已经发现用于高动态范围图像的固定编码需要至少11到12位的音调分辨率,当前主流图像传输接口,编解码器和文件格式限制为10位。为了能够使用当前生成的成像管道,本文提出了一种基带量化方案,用于利用内容特性来减少每个图像所需的音调分辨率。该方法具有低计算复杂性,并在不同观看环境和应用程序中提供各种内容类型的强大性能。

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