一种基于独立视频帧的几乎无损压缩的心理视觉模型

N. A. Abu, M. Ariffin
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引用次数: 2

摘要

在音频编码中建立了心理声学模型。从上个世纪计算机音频时代开始,音频编码就以一维快速傅里叶变换(FFT)为基础,作为一种基本的工业编码。本文研究了一种基于心理视觉阈值的定量实验方法对图像几乎无损压缩的影响。提出了一种基于二维大离散余弦变换(DCT)的图像编码方法。在心理声学相当阈值之后,提出了一个心理视觉模型,作为一个仅仅明显的差异,而不是量化表。在大矩形图像上的实验结果。除了扩展的自适应JPEG压缩标准外,该框架还可以轻松地以具有竞争力的压缩率生成更高质量的图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel psychovisual model on an independent video frame for an almost lossless compression
A psychoacoustic model is well established in an audio coding. From the beginning of computer audio era since the previous century, an audio coding has already operated on a large one-dimensional fast Fourier transform(FFT) as a basic industrial coding. This paper investigates a quantitative experimental impact on almost lossless image compression based on the concept of psychovisual threshold. This paper proposes a practical image coding on large two-dimensional discrete cosine transform(DCT). A psychovisual model is presented following the psychoacoustic quite threshold as a just noticeable difference instead of a quantization table. An experimental result on large rectangular images shall be presented. This framework can easily produce higher quality images at a competitive compression rate in addition to an extended adaptive JPEG compression standard.
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