Synchronization of two dimensional digital images using NMSE measure

The article presents a problem of impact of digital images' synchronization on readings of objective measures used to assess digital image quality. The authors propose a method of unifying results to ensure correlation of an objective assessment method with subjective ratings. The proposed algorithm is based on the Normalized Mean Square Error analysis (NMSE). The algorithm proposed in the article may be also used in other issues related to digital image processing.

[1]  A. Bovik,et al.  A universal image quality index , 2002, IEEE Signal Processing Letters.

[2]  Ahmet M. Eskicioglu,et al.  Quality measurement for monochrome compressed images in the past 25 years , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[3]  Edward J. Delp.  Nonlinear Image Processing , 1990 .

[4]  Ioannis Pitas,et al.  Nonlinear Digital Filters - Principles and Applications , 1990, The Springer International Series in Engineering and Computer Science.

[5]  Ahmet M. Eskicioglu,et al.  Multidimensional image quality measure using singular value decomposition , 2003, IS&T/SPIE Electronic Imaging.

[6]  Paul S. Fisher,et al.  Image quality measures and their performance , 1995, IEEE Trans. Commun..