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YIQ 矢量量化在新的调色板架构中的应用。

YIQ vector quantization in a new color palette architecture.

机构信息

Dept. of Comput. Sci., Univ. of Western Ontario, London, Ont.

出版信息

IEEE Trans Image Process. 1996;5(2):321-9. doi: 10.1109/83.480767.

Abstract

Many CRT displays use color palettes to save highspeed frame buffer memory and to support many interactive, real-time graphics and imaging operations. Existing quantization algorithms for color palettes cluster colors as 3-D vectors in a color space. Thus, they fail to remove the statistical redundancy in the image space. This weakness prevents a more efficient use of frame buffer capacity. We propose a simple product vector quantization (VQ) technique for frame buffers that exploits redundancies in both image and color spaces. The new VQ technique can reduce the frame buffer use of a color image by half from the current algorithms with comparable image quality. The NTSC YIQ rather than RGB color space is used in our product VQ scheme. Consequently, we propose to modify the current architecture of the color palette to suit the proposed product VQ algorithm in the YIQ mode. The modified color palette is nearly ten times smaller than the current RGB palette and is more flexible. The improved space efficiency in both frame buffer and color palette is achieved while neither complicating the control or logic of the frame buffer architecture nor increasing computational complexity of color quantization.

摘要

许多 CRT 显示器使用调色板来节省高速帧缓冲存储器,并支持许多交互式、实时图形和成像操作。现有的调色板量化算法将颜色聚类为颜色空间中的 3-D 向量。因此,它们无法去除图像空间中的统计冗余。这一弱点妨碍了更有效地利用帧缓冲器容量。我们提出了一种简单的乘积向量量化 (VQ) 技术,用于利用图像和颜色空间中的冗余的帧缓冲器。新的 VQ 技术可以将颜色图像的帧缓冲器使用量减少一半,而图像质量相当。我们的乘积 VQ 方案使用 NTSC YIQ 而不是 RGB 颜色空间。因此,我们建议修改当前的调色板架构,以适应 YIQ 模式下的建议乘积 VQ 算法。修改后的调色板比当前的 RGB 调色板小近十倍,而且更加灵活。在不增加帧缓冲器架构的控制或逻辑复杂性,也不增加颜色量化的计算复杂性的情况下,提高了帧缓冲器和调色板的空间效率。

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