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A Tabulation-Based Fast Algorithm for 2-Dimensional Convolution

机译:基于列表的二维卷积快速算法

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Building image databases typically requires processing and analysis of huge collections images as a first step. Image filtering is a fundamental operation in image processing. Filtering essentially involves convolution operation. Any scheme that speeds up the convolution which in turn speeds up image filtering operation would be beneficial to the database building process. This paper presents a fast algorithm to perform the 2-dimensional filtering of image data using tables of intermediate values. The simplicity and regularity of the scheme can also be used for hardware implementation.
机译:建立图像数据库通常首先需要处理和分析大量馆藏图像。图像过滤是图像处理中的基本操作。过滤本质上涉及卷积运算。任何加快卷积从而加快图像过滤操作速度的方案都将对数据库构建过程有益。本文提出了一种使用中间值表执行图像数据的二维过滤的快速算法。该方案的简单性和规则性也可以用于硬件实现。

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