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L.-W. Chang, W.-N. Lie, and R. Chiang (Eds.): PSIVT 2006, LNCS 4319, pp. 751 760, 2006. Springer-Verlag Berlin Heidelberg 2006
 

Summary: L.-W. Chang, W.-N. Lie, and R. Chiang (Eds.): PSIVT 2006, LNCS 4319, pp. 751 760, 2006.
Springer-Verlag Berlin Heidelberg 2006
Objective Image Quality Evaluation for JPEG, JPEG
2000, and Vidware VisionTM
Chung-Hao Chen, Yi Yao, David L. Page, Besma Abidi, Andreas Koschan,
and Mongi Abidi
The University of Tennessee
Imaging, Robotics and Intelligent System Laboratory
Knoxville, Tennessee 37996-2100, USA
{cchen10, yyao1, dpage, besma, akoschan, abidi}@utk.edu
Abstract. In this paper, three compression methods, JPEG, JPEG 2000, and
Vidware VisionTM
are evaluated by different full- and no-reference objective
image quality measures including Peak-Signal-to-Noise-Ratio (PSNR),
structural similarity (SSIM), and Tenengrad. In the meantime, we also propose
an image sharpness measure, non-separable rational function based Tenengrad
(NSRT2), to address whether the compression method is appropriate to be used
in a machine recognition application. Based on our experimental results
Vidware VisionTM
is more robust to changes in compression ratio and presents

  

Source: Abidi, Mongi A. - Department of Electrical and Computer Engineering, University of Tennessee

 

Collections: Computer Technologies and Information Sciences