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Color image coding using an orthogonal decomposition

机译:使用正交分解的彩色图像编码

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Abstract: Representations of color images are discussed with regard to the problem of color image coding. Standard color image representations are seen to have components with considerable redundancy, and, accordingly are ill-suited for coding using standard gray-scale image coders. The notion of an uncorrelated or orthogonal representation, in which component images are independent in an L$-2$/ sense, is introduced and is shown to have features desirable as a preprocessor to a color image coder. Experiments using both spatial-domain and frequency-domain coders show that the orthogonal representation leads to a 20% - 70% compression ratio improvement over that of RGB or YIQ representations, with less visually objectionable artifacts at low peak signal-to-noise ratios.!5
机译:摘要:针对彩色图像编码问题,讨论了彩色图像的表示方法。标准彩色图像表示被认为具有相当可观的冗余,因此不适合使用标准灰度图像编码器进行编码。引入了不相关或正交表示的概念,其中分量图像在L $ -2 $ /方向上是独立的,并且被显示为具有期望作为彩色图像编码器的预处理器的特征。使用空间域和频域编码器进行的实验表明,正交表示比RGB或YIQ表示的压缩率提高了20%-70%,在低峰值信噪比下具有较少视觉上令人反感的伪像。 !5

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