Multi-focus image fusion based on batch digital FIR filters

Yiquan Dai; Wenwen Liu; Xiaoyuan He

doi:10.1117/12.839220

24 August 2009 Multi-focus image fusion based on batch digital FIR filters

Yiquan Dai, Wenwen Liu, Xiaoyuan He

Proceedings Volume 7375, ICEM 2008: International Conference on Experimental Mechanics 2008; 73752J (2009) https://doi.org/10.1117/12.839220
Event: International Conference on Experimental Mechanics 2008 and Seventh Asian Conference on Experimental Mechanics, 2008, Nanjing, China

Abstract

This paper dedicates to study how to construct a perfect high resolution image from images with few different in-focus locals. Multi-focus technology which grabs images focused on different region in the same scene to rebuild a whole-focus image is adopted to perform this work. However, integrating with the advantages of so many images is a considerable difficult task. In view of this, the paper presents an algorithm for fast realization with high precision. Firstly, a batch of reversible two-dimensional FIR filters is designed to extract useful components from the local focused images. Based on comprehensive consideration, an efficient calculation flow is presented too. Secondly, a detector (PPE, point property evaluation) based on gradient energy is designed to evaluate point property of each channel divided by the FIR filters. According to the evaluation, the components in each channel are synthesized to build corresponding target channel. Finally, a perfect image can be obtained by adding all the target channels. At last, the algorithm is verified by an actual application. In this test, one perfect image is reconstructed from 9 local focalized images photographed with telephoto lens. Besides, other intermediate experiment results also provide support to the ideas adopted in the algorithm.

Citation Download Citation

Yiquan Dai, Wenwen Liu, and Xiaoyuan He "Multi-focus image fusion based on batch digital FIR filters", Proc. SPIE 7375, ICEM 2008: International Conference on Experimental Mechanics 2008, 73752J (24 August 2009); https://doi.org/10.1117/12.839220

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KEYWORDS

Image fusion

Finite impulse response filters

Image filtering

Convolution

Detection and tracking algorithms

Filtering (signal processing)

Sensors

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