Image enhancement using hierarchical Bayesian image expansion super resolution

Timothy Whitney; Jeremy Straub; Ronald Marsh

doi:10.1117/12.2178179

21 May 2015 Image enhancement using hierarchical Bayesian image expansion super resolution

Timothy Whitney, Jeremy Straub, Ronald Marsh

Proceedings Volume 9497, Mobile Multimedia/Image Processing, Security, and Applications 2015; 949709 (2015) https://doi.org/10.1117/12.2178179
Event: SPIE Sensing Technology + Applications, 2015, Baltimore, MD, United States

Abstract

Multiframe super-resolution uses the information from a set of low resolution images to produce a high resolution output image. This process can prospectively be run several times with interim sets of enhanced images that can be further enhanced. This paper presents and discusses the results of this hierarchical technique on a sreated set of images and the results produced. When successful, this approach is able to produce a better quality image than the traditional single run super resolution approach. This provides a method for existing super resolution algorithms to further enhance image quality without modifying the underlying algorithm.

Citation Download Citation

Timothy Whitney, Jeremy Straub, and Ronald Marsh "Image enhancement using hierarchical Bayesian image expansion super resolution", Proc. SPIE 9497, Mobile Multimedia/Image Processing, Security, and Applications 2015, 949709 (21 May 2015); https://doi.org/10.1117/12.2178179

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