An Improved Image Dehazing Technique using CLAHE and Guided Filter
| Autor: | Badal Soni, Prachi Mathur |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Haze
business.industry Computer science media_common.quotation_subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies 02 engineering and technology Filter (signal processing) Real image Image (mathematics) Histogram 0202 electrical engineering electronic engineering information engineering Contrast (vision) 020201 artificial intelligence & image processing Adaptive histogram equalization Computer vision Artificial intelligence business Image restoration 021101 geological & geomatics engineering media_common |
| Zdroj: | 2020 7th International Conference on Signal Processing and Integrated Networks (SPIN). |
| Popis: | Presence of haze components in the atmosphere, degrade the contrast as well as the true color of the real images. As a result of this, images are difficult to comprehend and to be used in several applications like surveillance, navigation, detection etc. Therefore, it is important to remove hazy effect from the real world images to get clear or haze free image. In the present paper, a technique to remove haze is implemented by combining the modified Adaptive Histogram Equalization and Guided Filter approaches. Experiments are carried out using various hazy images collected from Internet and the result reveals that the this method can dehaze the haze affected images and restore the original contrast of the images as well. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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