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A VLSI architecture for 3-D self-organizing map based color quantization and its FPGA implementation

机译:基于3-D自组织图的颜色量化的VLSI架构及其FPGA实现

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摘要

Color quantization is the process of computing a color palette containing few best colors from a full color image and then associating to each pixel of the image, a color from the palette to yield a color quantized image that is close to the original image. It is of interest in applications such as digital display and image capture. To satisfy real time requirements, it is of vital importance to perform color quantization as fast as possible. This paper presents a novel architecture of a hardware unit for color quantization that is based on Kohonen's self-organizing map. The proposed architecture is of the SIMD type and results in a scheme with linear time complexity (in the size of the image). The architecture has been implemented in Xilinx FPGA and results show that the proposed design achieves high speed taking only a few milliseconds for color quantization of images up to size of 512 * 512 with low area requirement.
机译:颜色量化是以下过程:从全彩色图像中计算出包含最佳颜色的调色板,然后将调色板中的颜色与图像的每个像素相关联,以产生接近原始图像的颜色量化图像。在诸如数字显示和图像捕获的应用中令人感兴趣。为了满足实时要求,尽可能快地执行颜色量化至关重要。本文提出了一种基于Kohonen的自组织图的颜色量化硬件单元的新颖体系结构。所提出的架构是SIMD类型的,并导致一种具有线性时间复杂度(在图像大小上)的方案。该架构已在Xilinx FPGA中实现,结果表明,所提出的设计仅需几毫秒即可实现高速成像,从而可对尺寸较小的512 * 512的图像进行色彩量化。

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