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  • Research Article
  • Open Access

Robust Color Image Superresolution: An Adaptive M-Estimation Framework

EURASIP Journal on Image and Video Processing20082008:763254

  • Received: 2 August 2007
  • Accepted: 7 February 2008
  • Published:


This paper introduces a new color image superresolution algorithm in an adaptive, robust M-estimation framework. Using a robust error norm in the objective function, and adapting the estimation process to each of the low-resolution frames, the proposed method effectively suppresses the outliers due to violations of the assumed observation model, and results in color superresolution estimates with crisp details and no color artifacts, without the use of regularization. Experiments on both synthetic and real sequences demonstrate the superior performance over using the and error norms in the objective function.


  • Objective Function
  • Image Processing
  • Pattern Recognition
  • Computer Vision
  • Error Norm

Publisher note

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Authors’ Affiliations

Department of Electrical Engineering, School of Engineering, Southern Methodist University, P.O. Box 750338, Dallas, TX 75275, USA


© N. A. El-Yamany and P. E. Papamichalis. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.