Paper Title
Automatic Rain Streak Removal: Review
Article Identifiers
: Authors
Keywords
Morphological Component Analysis (MCA), Histogram of oriented gradients (HoG),Depth of Field (DoF), Dictionary Learning Algorithm, Image Decomposition
Abstract
The better image quality is a very important factor in various applications. Weather conditions i.e. rain, snow, fog, mist and haze degrade the quality also performance of outdoor vision system. Rain is one of the major contributors for the dynamic bad weather. It causes intensity variations in image which reduces the quality of image and it is difficult to view for human observers. The intensity variation depends on different parameters. For better image it is necessary the image will be noise free. Most of the rain streak removal has been done on video based approaches and with collection of training images. Color image based rain streak removal widely used in different applications in the field of security surveillance, vision based navigation, video or movie editing and video indexing or retrieval. So it is necessary to develop algorithm to remove rain streaks from the images with preserving the original details. In this method, the detection and removal of rain streaks in an image is based on image decomposition which depends on Morphological Component Analysis (MCA) by performing dictionary learning. It is review of IEEE paper.
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How To Cite (APA)
Priyanka Kallappa Nagave & S.R.Mahadik (May-2017). Automatic Rain Streak Removal: Review. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 2(5), 127-130. https://ijnrd.org/papers/IJNRD1705027.pdf
Issue
Volume 2 Issue 5, May-2017
Pages : 127-130
Other Publication Details
Paper Reg. ID: IJNRD_170049
Published Paper Id: IJNRD1705027
Downloads: 000122255
Research Area: Engineering
Author Type: Indian Author
Country: kolhapur, maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD1705027.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD1705027
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