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2020 | OriginalPaper | Buchkapitel

Sum Modified Laplacian-Based Image Fusion in DCT Domain with Super Resolution

verfasst von : G. Sreeja, O. Saraniya

Erschienen in: Advances in Electrical and Computer Technologies

Verlag: Springer Singapore

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Abstract

Multi-focus image fusion in DCT domain are useful for Visual Sensor Network where the images have to be stored and transmitted in the encoded format. The drawbacks of existing DCT-based fusion methods are blurriness and blocking artifacts. In this paper, a novel multi-focus image fusion method is proposed by combining super resolution (SR) technique with the DCT. Single frame super resolution method is applied to the input images to avoid blocking artifacts. The contrast is chosen as a activity level measurement, and it is measured with SML. Based on the largest SML value, fusion is performed. The results obtained verify the efficiency of proposed scheme in terms of both subjective and quantitative analysis.

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Vorheriges Kapitel Statistical Descriptors-Based Image Classification of Textural Images

Nächstes Kapitel Effective Compression of Digital Images Using SPIHT Coding with Selective Decomposition Bands

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Titel: Sum Modified Laplacian-Based Image Fusion in DCT Domain with Super Resolution
verfasst von: G. Sreeja
O. Saraniya
Verlag: Springer Singapore
Buch: Advances in Electrical and Computer Technologies
Print ISBN: 978-981-15-5557-2

Electronic ISBN: 978-981-15-5558-9

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-981-15-5558-9_79

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