By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)

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.

Published in:

Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on  (Volume:2 )

Date of Conference:

28-29 Nov. 2009