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2016 | OriginalPaper | Buchkapitel

Multi-domain Image Enhancement of Foggy Images Using Contrast Limited Adaptive Histogram Equalization Method

verfasst von : Garima Yadav, Saurabh Maheshwari, Anjali Agarwal

Erschienen in: Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing

Verlag: Springer India

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Abstract

Enhancement process is used in image processing for improving quality and contrast of noise images or video. In digital signal processing, enhancement process is applied in spatial domain and frequency domain. In these two domains, process is applied over a pixel value but in frequency domain enhancement process is applied over frequency. In image processing for improving the quality of image-used image filtering, morphological operation, deblurring, ROI-based processing, neighborhood, and block processing. Contrast adjustment, morphological operation, ROI-based processing and deblurring enhancement processes are used in spatial domain. Digital filter is used in frequency domain. In this article, the author used top-hat filter for enhancement process and CLAHE methods are used in spatial and frequency domains. Contrast limited adaptive histogram equalization method is used in spatial domain and finite impulse response filter is used in frequency domain. At the end of this paper is shown the comparative results which prove frequency domain enhancement method with spatial domain, which is better than the spatial domain enhancement method.

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Metadaten
Titel
Multi-domain Image Enhancement of Foggy Images Using Contrast Limited Adaptive Histogram Equalization Method
verfasst von
Garima Yadav
Saurabh Maheshwari
Anjali Agarwal
Copyright-Jahr
2016
Verlag
Springer India
DOI
https://doi.org/10.1007/978-81-322-2638-3_4

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