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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >A real-time color space converter for the measurement of appearance
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A real-time color space converter for the measurement of appearance

机译:用于外观测量的实时色彩空间转换器

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摘要

The value of being able to specify and control color representations in perceptual ter terms is increasingly being recognized. The advantages of using perceptual color spaces include intuitive addressability, uniformity, independent control of lightness and chromatic contrast, and device characterization in perceptual terms. This paper presents the design and VLSI implementation of a new digital hardware structure which performs the conversion, in real-time, of the R, G and B color co-ordinates to the CIE L*u*v* perceptually uniform color space. For a typical 512 x 512 pixel digital color image the number of required operations is 28 x 512(2) (including, power and division operations) and these cannot be executed in software fast enough to cope with time critical applications. The high speed of operation is achieved by pipelining the data in a vector fashion. The structure is implemented using a DLM, 0.7 mum, N-well, CMOS process provided by the European Silicon Structures (ES2), and it occupies a silicon area of 6.40 mm x 6.60 mm = 42.24 mm(2). Its maximum speed of operation is 20 MHz and its throughput rate of operations is 260 MIPS. Targeted applications include display device modeling, device independent color reproduction, colorimetry instrumentation, Virtual reality, and color machine vision applications. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All lights reserved. [References: 10]
机译:能够以感知术语指定和控制颜色表示的价值正在日益得到认可。使用感知色彩空间的优势包括直观的可寻址性,均匀性,亮度和色差的独立控制以及感知方面的设备表征。本文介绍了一种新的数字硬件结构的设计和VLSI实现,该结构实时执行R,G和B颜色坐标到CIE L * u * v *感知均匀颜色空间的实时转换。对于典型的512 x 512像素数字彩色图像,所需的操作数为28 x 512(2)(包括电源和除法运算),并且这些操作无法以足够快的速度执行以应付时间紧迫的应用程序。通过以矢量方式对数据进行流水线处理可实现高速操作。该结构使用欧洲硅结构(ES2)提供的DLM,0.7微米,N阱,CMOS工艺实现,其硅面积为6.40 mm x 6.60 mm = 42.24 mm(2)。它的最大运行速度为20 MHz,其运行吞吐速率为260 MIPS。目标应用包括显示设备建模,与设备无关的色彩再现,比色仪,虚拟现实和彩色机器视觉应用。 (C)2001模式识别学会。由Elsevier Science Ltd发布。保留所有权利。 [参考:10]

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