NDLI: On linear and nonlinear processing of underwater, ground, aerial and satellite images

Content Provider	IEEE Xplore Digital Library
Author	Yongmao Ye Zhengmao Ye Bhattacharya, P. Jiecai Luo Majlesein, H. Smith, R. Kai Kang
Copyright Year	2005
Description	Author affiliation: Dept. of Broadcasting, Liaoning TV Station, Shenyang, China (Yongmao Ye)
Abstract	Image preprocessing, smoothing and restoration technology is concerned with producing and reestablishing an actual array of pixels for object representation to enhance the raw images from direct measurements. In this article, a thorough image processing approach has been proposed for enhancing various slow motion images, which are taken from underwater, ground, aerial and celestial sites respectively in a slow movement. Basic processing sequences include noise smoothing, improvement of contrast of image brightness, elimination of blurring effect arisen from atmospheric disturbances (temperature, pressure, shading and so on), partition of images into a set of regions or layers for further analysis. Linear smoothing and nonlinear smoothing are both conducted initially, followed by procedures of adaptive contrast stretching, brightness deblurring, image segmentation and image restoration. Satisfactory processing has given rise to a set of sharp pictures. This complete procedure for feature capturing and restoration has the potential for the real time image processing.
Starting Page	3364
Ending Page	3368
File Size	526522
Page Count	5
File Format	PDF
ISBN	0780392981
DOI	10.1109/ICSMC.2005.1571666
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Satellites Smoothing methods Image restoration Image processing Brightness Pixel Land surface temperature Image analysis Image sequence analysis Image segmentation Image Restoration Noise Smoothing Contrast Stretching Image Segmentation
Content Type	Text
Resource Type	Article

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