Abstract

Multi-focus image fusion is an effective approach to obtain the all-in-focus image. Focus detection is the key issue of multi-focus image fusion. Aiming at the shortcoming of spatial domain and transform domain algorithms for multi-focus image fusion, a novel multi-focus image fusion algorithm is proposed by combing focus detection in spatial domain and non-subsampled contourlet transform (NSCT) domain. At first, the focused pixels are detected by the sum-modified-Laplacian algorithm in spatial domain. At the same time, the focus detection method is proposed in NSCT domain, namely by MPCNN and voting fusion methods for high-frequency subbands of NSCT. Then, the morphological operation is utilized to correct the focus detection results in spatial domain and NSCT domain. At last, synthesis of detection results is implemented and the fused image can be obtained. Experimental results verified that the proposed algorithm outperformed some state-of-the-art fusion algorithms in terms of both subjective observation and objective evaluations.

Highlights

  • Accepted: August 13, 2018Published: September 20, 2018

  • The focus detection result (FlagT) in nonsubsampled contourlet transform (NSCT) domain is acquired by MPCNN and voting strategy for high- frequency subbands

  • (4) The artificial database which is produced by adding Gaussian blur to part of the original images with different standard derivations and Gaussian filter with different size

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Summary

Introduction

Data Availability Statement: All relevant data are within the paper and its Supporting Information files. Especially the high-frequency subbands, can describe the salient features more effectively, transform domain-based fusion algorithms suffer from blurring effect because the results are usually obtained by image reconstruction which modifies the original image information to a certain extent. Inspired by these properties, a novel image fusion scheme by combining spatial information and transformation information is proposed in this paper. The directional number of each level is 21, 22 and 22, respectively

Memristive pulse coupled neural network
The proposed fusion algorithm
Focus detection in spatial domain
Focus detection in NSCT domain
Postprocessing of focus detection results
Acquirement of the fused image
Experimental results and discussion
Conclusions and future work
Full Text
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