article · 2007

New Image Compression Artifact Measure Using Wavelets

Yung-kai Lai, C.-C. Jay Kuo, Jin Li

Cited by 0Abstract and details only

Abstract

Traditional objective metrics for the quality measure of coded images such as the mean squared error (MSE) and the peak signal-to-noise ratio (PSNR) do not correlate with the subjective human visual experiences well, since they do not take human perception into account. Quantification of artifacts resulted from lossy image compression techniques is studied based on a human visual system (HVS) model and the time-space localization property of the wavelet transform is exploited to simulate HVS in this research. As a result of our research, a new image quality measure by using the wavelet basis function is proposed. This new metric works for a wide variety of compression artifacts. Experimental results are given to demonstrate that it is more consistent with human subjective ranking. KEYWORDS: image quality assessment, compression artifact measure, visual fidelity criterion, human visual system (HVS), wavelets. 1 INTRODUCTION The objective of lossy image compression is to store image d...

Cite this paper

APA 7

Lai, Y.-K., Kuo, C.-C. J., & Li, J. (2007). New Image Compression Artifact Measure Using Wavelets.

MLA 9

Lai, Yung-kai, et al. “New Image Compression Artifact Measure Using Wavelets.” 2007.

Chicago

Lai, Yung-kai, C.-C. Jay Kuo, and Jin Li. 2007. “New Image Compression Artifact Measure Using Wavelets.”

Harvard

Lai, Y.-K., Kuo, C.-C.J. and Li, J. (2007) ‘New Image Compression Artifact Measure Using Wavelets’.

BibTeX

@article{lai2007image,
  title = {{New Image Compression Artifact Measure Using Wavelets}},
  author = {Lai, Yung-kai and Kuo, C.-C. Jay and Li, Jin},
  year = {2007}
}

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