earticle

논문검색

Multi-Focus Image Fusion Based on Sparse Decomposition

초록

영어

In order to effectively improve fusion quality, a novel multi-focus image fusion approach with sparse decomposition is proposed. The source images are decomposed into principal and sparse components by robust principal component analysis (RPCA) decomposition. A sliding window technique is applied to inhibiting blocking artifacts. The focused pixels of the source images are detected by using the salient features within the sliding window and integrated to construct the final fused image. Experimental results show that the proposed scheme can significantly inhibit the blocking artifacts compared to the other existing fusion methods in terms of some visual and objective evaluations.

목차

Abstract
 1. Introduction
 2. Proposed Method
  2.1. Fusion Algorithm
  2.2. Fusion Rule
 3. Experimental Results
 4. Conclusion and Future work
 Acknowledgements
 References

저자정보

  • Yongxin Zhang School of Information Technology, Luoyang Normal University, Luoyang, 471022, China

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.