An autoencoder deep residual network model for multi focus image fusion

H Shihabudeen; J Rajeesh

doi:10.1007/s11042-023-16991-6

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An autoencoder deep residual network model for multi focus image fusion

H Shihabudeen J Rajeesh

Year: 2023 Journal: Multimedia Tools and Applications Vol: 83 (12)Pages: 34773-34794 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-023-16991-6

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Keywords:

Computer science Autoencoder Residual Focus (optics) Artificial intelligence Image (mathematics) Fusion Image fusion Pattern recognition (psychology) Deep learning Machine learning Algorithm

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Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Photoacoustic and Ultrasonic Imaging

Physical Sciences → Engineering → Biomedical Engineering

An autoencoder deep residual network model for multi focus image fusion

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Citation History

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