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논문검색

Pixel-based Fusion Algorithm for Multi-Focused Image by Comparison and Filtering of SML map

원문정보

초록

영어

The fusion algorithm of multiple images of which focal lengths are different is necessary to generate visually enhanced composite image. Also, it can be employed as a pre-processing step for edge detection or feature extraction in order to improve the performances. In this paper, we suggest a pixel- based approach for the fusion of multi-focused image. The focus measure of SML(Sum of Modified- Laplacian) is slightly modified by adopting double thresholds. We firstly calculate 3-level SML comparison map which contains intermediate level for ambiguous pixels. And the final 2-level map is generated after reallocating these pixels to get more reliable result and median filtering to reduce the effect of isolated noises. The performances are evaluated by computer simulation which showed that the visual quality of composite image was successfully improved not only subjectively but objectively by the proposed fusion algorithm.

목차

Abstract
 I. INTRODUCTION
 II. MULTI-FOCUS IMAGE FUSION AND FOCUS MEASURE
 III. THE PROPOSED ALGORITHM
  A. Generation of 2-level SML Comparison Map
  B. Making a Composite Image
 IV. EXPERIMENTAL RESULTS
  A. Experimental Setup
  B. The Generation of SML Comparison Map
  C. Performance Evaluation
 V. CONCLUSION
 REFERENCES

저자정보

  • Seung-Hyun Lee Department of Electrical Engineering Kookmin University Seoul, Republic of Korea
  • Kwang-Hoon Jung Department of Electrical Engineering Kookmin University Seoul, Republic of Korea
  • Dong-Wook Kang Department of Electrical Engineering Kookmin University Seoul, Republic of Korea
  • Kyeong-Hoon Jung Department of Electrical Engineering Kookmin University Seoul, Republic of Korea

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