Robust Color Image Superresolution: An Adaptive M-Estimation Framework
© N. A. El-Yamany and P. E. Papamichalis. 2008
Received: 2 August 2007
Accepted: 7 February 2008
Published: 7 February 2008
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.
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