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2018 | OriginalPaper | Buchkapitel

Image Filtering Enhancement

verfasst von : Zhen Guo, Hang Pan, Jinlong Chen, Xianjun Chen

Erschienen in: Advances in Swarm Intelligence

Verlag: Springer International Publishing

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Abstract

With the development of science and technology, mankind has entered the information age. Image has become the main source of human access to information. However, in the actual process of image signal transmission, the loss and damage of data packet are inevitable due to the physical defects of the channel, which lead to a serious decline in the quality of the video stream. So it is necessary and even urgent now to do some research work on image enhancement technology. In this paper, the image enhancement algorithms that are commonly used, such as bilateral filtering algorithm, homomorphic filtering algorithm, are analyzed in image processing. In the design of the image enhancement, the best modeling and design schemes are chosen according to the comparison. The experimental results demonstrate that the bilateral filtering algorithm can effectively maintain the details of the image edges and make the image more smooth; the homomorphic filtering algorithm can effectively adjust the image gray range, so that the image details on the image area can be increased, and the algorithm can handle the image with inhomogeneous intensity. This work will lay a good foundation of further research.

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Metadaten
Titel
Image Filtering Enhancement
verfasst von
Zhen Guo
Hang Pan
Jinlong Chen
Xianjun Chen
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-93818-9_47