Overview of Pixel Level Image Fusion Algorithm

Abstract:

Pixel level image fusion algorithm is one of the basic algorithms in image fusion, which is mainly divided into time domain and frequency domain algorithm. The weighted average algorithm and PCA (principal component analysis) are popular algorithms in time domain. Pyramid algorithm and wavelet algorithm are usually used to fuse two or multiple images in frequency domain. In this paper, pixel level image fusion algorithm was summarized, including of operation, characteristics and application etc. MATLAB simulation shows that effect of frequency domain algorithm is better than time domain algorithm. Evaluation criteria mainly refer to entropy, cross entropy, the mean and standard deviation etc. Evaluation standard is the reference of fusion effects, different evaluation criteria could be selected according to different fused image and different fusion purpose.

• Periodical: Applied Mechanics and Materials (Volumes 519-520)
• Pages: 590-593
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.519-520.590
• Online since: February 2014
• Authors: Ming Jing Li, Yu Bing Dong, Jie Li
• Keywords: Frequency Domain Algorithm, Image Fusion, Pixel Level, Time Domain Algorithm

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