Accelerated Convolution Image Processing by Using Look-Up Table and Overlap Region Buffering Method

Loop-Up Table과 필터 중첩영역 버퍼링 기법을 이용한 컨벌루션 영상처리 고속화

  • 김현우 (경북대학교 IT대학 전자공학부) ;
  • 김민영 (경북대학교 IT대학 전자공학부)
  • Received : 2011.12.23
  • Accepted : 2012.06.26
  • Published : 2012.07.25


Convolution filtering methods have been widely applied to various digital signal processing fields for image blurring, sharpening, edge detection, and noise reduction, etc. According to their application purpose, the filter mask size or shape and the mask value are selected in advance, and the designed filter is applied to input image for the convolution processing. In this paper, we proposed an image processing acceleration method for the convolution processing by using two-dimensional Look-up table (LUT) and overlap-region buffering technique. First, based on the fixed convolution mask value, the multiplication operation between 8 or 10 bit pixel values of the input image and the filter mask values is performed a priori, and the results memorized in LUT are referred during the convolution process. Second, based on symmetric structural characteristics of the convolution filters, inherent duplicated operation region is analysed, and the saved operation results in one step before in the predefined memory buffer is recalled and reused in current operation step. Through this buffering, unnecessary repeated filter operation on the same regions is minimized in sequential manner. As the proposed algorithms minimize the computational amount needed for the convolution operation, they work well under the operation environments utilizing embedded systems with limited computational resources or the environments of utilizing general personnel computers. A series of experiments under various situations verifies the effectiveness and usefulness of the proposed methods.


Supported by : 휴먼인지환경사업본부


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