Paper Title:
A New Image Quality Assessment Method Based on SSIM and TV Model
  Abstract

In this paper, a new image quality assessment method has been proposed in which can judge the quality of images without explicit knowledge of the reference images ,it is based on the SSIM(Structural Similarity) and TV(total variation) model. Firstly, add noises to distorted image to quantitatively determine, it can get the degraded image; secondly, use the improved self-adaptive gradient weights of the TV algorithms to denoising the distorted image, it can get the “fake” reference image, then use the classical SSIM methods to make reference evaluation between the distorted image and the “fake” reference image, after modified, the results is the no reference evaluating indicator. The experiment separated use the standard testing images and the degraded images from the LIVE database to make evaluate experiment, the result show that it is consistent to the result of MOS. This method is no need of reference images, it can use widely.

  Info
Periodical
Edited by
Zhenyu Du and Bin Liu
Pages
542-550
DOI
10.4028/www.scientific.net/AMM.65.542
Citation
L. L. Pang, C. L. Li, D. N. Qi, T. Zou, "A New Image Quality Assessment Method Based on SSIM and TV Model", Applied Mechanics and Materials, Vol. 65, pp. 542-550, 2011
Online since
June 2011
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$32.00
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