Please wait a minute...
Front. Inform. Technol. Electron. Eng.  2010, Vol. 11 Issue (5): 365-374    DOI: 10.1631/jzus.C0910344
    
High quality multi-focus polychromatic composite image fusion algorithm based on filtering in frequency domain and synthesis in space domain
Lei Zhang, Peng Liu, Yu-ling Liu, Fei-hong Yu*
State Key Lab of Modern Optical Instrumentation, Department of Optical Engineering, Zhejiang University, Hangzhou 310027, China
Download:   PDF(741KB)
Export: BibTeX | EndNote (RIS)      

Abstract  A novel multi-focus polychromatic image fusion algorithm based on filtering in the frequency domain using fast Fourier transform (FFT) and synthesis in the space domain (FFDSSD) is presented in this paper. First, the original multi-focus images are transformed into their frequency data by FFT for easy and accurate clarity determination. Then a Gaussian low-pass filter is used to filter the high frequency information corresponding to the image saliencies. After an inverse FFT, the filtered images are obtained. The deviation between the filtered images and the original ones, representing the clarity of the image, is used to select the pixels from the multi-focus images to reconstruct a completely focused image. These operations in space domain preserve the original information as much as possible and are relatively insensitive to misregistration scenarios with respect to transform domain methods. The polychromatic noise is well considered and successfully avoided while the information in different chromatic channels is preserved. A natural, nice-looking fused microscopic image for human visual evaluations is obtained in a dedicated experiment. The experimental results indicate that the proposed algorithm has a good performance in objective quality metrics and runtime efficiency.

Key wordsMulti-focus image      Polychromatic image      Image fusion      Fast Fourier transform (FFT)     
Received: 08 June 2009      Published: 28 April 2010
CLC:  TP391.41  
Cite this article:

Lei Zhang, Peng Liu, Yu-ling Liu, Fei-hong Yu. High quality multi-focus polychromatic composite image fusion algorithm based on filtering in frequency domain and synthesis in space domain. Front. Inform. Technol. Electron. Eng., 2010, 11(5): 365-374.

URL:

http://www.zjujournals.com/xueshu/fitee/10.1631/jzus.C0910344     OR     http://www.zjujournals.com/xueshu/fitee/Y2010/V11/I5/365


High quality multi-focus polychromatic composite image fusion algorithm based on filtering in frequency domain and synthesis in space domain

A novel multi-focus polychromatic image fusion algorithm based on filtering in the frequency domain using fast Fourier transform (FFT) and synthesis in the space domain (FFDSSD) is presented in this paper. First, the original multi-focus images are transformed into their frequency data by FFT for easy and accurate clarity determination. Then a Gaussian low-pass filter is used to filter the high frequency information corresponding to the image saliencies. After an inverse FFT, the filtered images are obtained. The deviation between the filtered images and the original ones, representing the clarity of the image, is used to select the pixels from the multi-focus images to reconstruct a completely focused image. These operations in space domain preserve the original information as much as possible and are relatively insensitive to misregistration scenarios with respect to transform domain methods. The polychromatic noise is well considered and successfully avoided while the information in different chromatic channels is preserved. A natural, nice-looking fused microscopic image for human visual evaluations is obtained in a dedicated experiment. The experimental results indicate that the proposed algorithm has a good performance in objective quality metrics and runtime efficiency.

关键词: Multi-focus image,  Polychromatic image,  Image fusion,  Fast Fourier transform (FFT) 
[1] Michaelraj Kingston Roberts, Ramesh Jayabalan. An improved low-complexity sum-product decoding algorithm for low-density parity-check codes[J]. Front. Inform. Technol. Electron. Eng., 2015, 16(6): 511-518.
[2] Yang Chen, Zheng Qin. Gradient-based compressive image fusion[J]. Front. Inform. Technol. Electron. Eng., 2015, 16(3): 227-237.
[3] Zhen-guo Ma, Feng Yu, Rui-feng Ge, Ze-ke Wang. An efficient radix-2 fast Fourier transform processor with ganged butterfly engines on field programmable gate arrays[J]. Front. Inform. Technol. Electron. Eng., 2011, 12(4): 323-329.
[4] Dan Wu, Xue-cheng Zou, Kui Dai, Jin-li Rao, Pan Chen, Zhao-xia Zheng. Implementation and evaluation of parallel FFT on Engineering and Scientific Computation Accelerator (ESCA) architecture[J]. Front. Inform. Technol. Electron. Eng., 2011, 12(12): 976-989.
[5] Xue Liu, Feng Yu, Ze-ke Wang. A pipelined architecture for normal I/O order FFT[J]. Front. Inform. Technol. Electron. Eng., 2011, 12(1): 76-82.