NDLI: A Traffic Image Compression Technique Based on Self-adapt Parameter Choice

Content Provider	IEEE Xplore Digital Library
Author	Cao Wen-lun Shi Zhong-ke Feng Jian-hu
Copyright Year	2006
Description	Author affiliation: Sch. of Autom., Northwestern Polytech. Univ., Xi'an (Cao Wen-lun; Shi Zhong-ke)
Abstract	A polynomial-approach method for image compression coding was presented for the first time to the small complex traffic image. We analyzed the image scanning method affect to the polynomial-approach method. Furthermore, we also researched the way of accumulation that can make the violent wobble of the curve became more gentle. Finally, we propose an approach, which has three steps: raster scanning of the image data, monotonizing data according to self-adapt parameter choice and polynomial-approach. This method achieved the image compression coding successfully. Experiments on traffic images showed our method is simple and high efficiency. It is high performance on the small complex traffic image, especially in middle and low signal-to-noise ratio
Starting Page	1301
Ending Page	1304
File Size	4224585
Page Count	4
File Format	PDF
ISBN	0780395867
DOI	10.1109/ITST.2006.288886
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Traffic Image compression Polynomial-approach Telecommunication traffic Educational institutions ITS Image scanning Image coding Image analysis Machine learning Traffic control Polynomials Automatic machine learning Integrated circuit modeling Pixel Signal to noise ratio
Content Type	Text
Resource Type	Article

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