A New Integral Image Structure for Memory Size Reduction

作者:Lee Su hyun*; Jeong Yong jin
来源:IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2014, E97D(4): 998-1000.
DOI:10.1587/transinf.E97.D.998

摘要

An integral image is the sum of input image pixel values. It is mainly used to speed up the process of a box filter operation, such as Haar-like features. However, large memory for integral image data can be an obstacle in an embedded environment with limited hardware. Therefore, an efficient method to store the integral image is necessary. In this paper, we propose a memory size reduction method for integral image. The method uses four types image information: an integral image, a row integral image. a column integral image, and an input image. Using this method, integral image memory can be reduced by 42.6% on a 640 x 480 8-bit gray-scale input image. The same idea can be applied for bigger size images.

  • 出版日期2014-4