Design of Linear Equalizers Optimized for the Structural Similarity Index

We propose an algorithm for designing linear equalizers that maximize the structural similarity (SSIM) index between the reference and restored signals. The SSIM index has enjoyed considerable application in the evaluation of image processing algorithms. Algorithms, however, have not been designed y...

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Veröffentlicht in:	IEEE transactions on image processing 2008-06, Vol.17 (6), p.857-872
Hauptverfasser:	Channappayya, S.S., Bovik, A.C., Caramanis, C., Heath, R.W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive filters Algorithm design and analysis Algorithms Applied sciences Complexity Computer Simulation Design optimization Detection, estimation, filtering, equalization, prediction Distortion measurement Equalizers Exact sciences and technology Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Image restoration Information, signal and communications theory Linear Models Mathematical models Miscellaneous Nonlinear filters Numerical Analysis, Computer-Assisted Optimization Pattern Recognition, Automated - methods Reproducibility of Results Sensitivity and Specificity Signal and communications theory Signal design Signal processing Signal Processing, Computer-Assisted Signal restoration Signal, noise Similarity Studies Subtraction Technique Telecommunications and information theory
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