NDLI: A new approach for DCT coefficients estimation and super resolution of compressed video

Content Provider	IEEE Xplore Digital Library
Author	Tao Lu Chengdong Lan Lingyan Lu
Copyright Year	2009
Description	Author affiliation: National Engineering Research Center For Multimedia Software, Wuhan University, 430070, China (Chengdong Lan) \|\| Hubei Province Key Laboratory of Intelligent Robot, College of Computer Science and Engineering, Wuhan Institute of Technology, 430070, China (Tao Lu; Lingyan Lu)
Abstract	Reconstructing high resolution images from compressed low resolution video is a hot issue now. In many real applications, such as surveillance users often only get low quality videos which are hard to identify interested objects, super resolution restoration is a effective tool to enhance the quality of images. Quantization loss is the major cause for losing images details, this paper propose an new method to estimate the quantization noise in frequency domain using Laplace model for DCT coefficients, then the distribution parameter of Laplace is treated as variable simultaneously iterated with the object high resolution images. Experiments indicate that this algorithm in compressed video restoration details due to quantization noise have better performance than others.
Starting Page	23
Ending Page	25
File Size	2924928
Page Count	3
File Format	PDF
ISBN	9781424446063
DOI	10.1109/PACIIA.2009.5406640
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image resolution DCT domain Quantization Frequency estimation Image restoration compressed video Image reconstruction Frequency domain analysis Super resolution Image coding Surveillance Video compression coefficients estimation Discrete cosine transforms
Content Type	Text
Resource Type	Article

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