Bio-inspired framework for automatic image quality enhancement

Andrea Ceresi; Francesca Gasparini; Fabrizio Marini; Raimondo Schettini

doi:10.1117/12.910712

24 January 2012 Bio-inspired framework for automatic image quality enhancement

Andrea Ceresi, Francesca Gasparini, Fabrizio Marini, Raimondo Schettini

Proceedings Volume 8299, Digital Photography VIII; 82990G (2012) https://doi.org/10.1117/12.910712
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

Abstract

We propose a bio-inspired framework for automatic image quality enhancement. Restoration algorithms usually have fixed parameters whose values are not easily settable and depend on image content. In this study, we show that it is possible to correlate no-reference visual quality values to specific parameter settings such that the quality of an image could be effectively enhanced through the restoration algorithm. In this paper, we chose JPEG blockiness distortion as a case study. As for the restoration algorithm, we used either a bilateral filter, or a total variation denoising detexturer. The experimental results on the LIVE database will be reported. These results will demonstrate that a better visual quality is achieved through the optimized parameters over the entire range of compression, with respect to the algorithm default parameters.

Citation Download Citation

Andrea Ceresi, Francesca Gasparini, Fabrizio Marini, and Raimondo Schettini "Bio-inspired framework for automatic image quality enhancement", Proc. SPIE 8299, Digital Photography VIII, 82990G (24 January 2012); https://doi.org/10.1117/12.910712

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KEYWORDS

Image quality

Image processing

Image enhancement

Visualization

Distortion

Biomimetics

Denoising

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