A survey on automatic techniques for enhancement and analysis of digital photography

The fast growth in the consumer digital photography industry during the past decade has led to the acquisition and storage of large personal and public digital collections containing photos with different quality levels and redundancy, among other aspects. This naturally increased the difficulty in...

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Bibliographic Details
Published in:Journal of the Brazilian Computer Society 2013-09, Vol.19 (3), p.341-359
Main Authors: Cavalcanti, Claudio S. V. C., Gomes, Herman Martins, De Queiroz, José Eustáquio Rangel
Format: Article
Language:English
Subjects:
Computer Science
Computer System Implementation
Data Structures
Operating Systems
Original Paper
Simulation and Modeling
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Summary:The fast growth in the consumer digital photography industry during the past decade has led to the acquisition and storage of large personal and public digital collections containing photos with different quality levels and redundancy, among other aspects. This naturally increased the difficulty in selecting or modifying those photos. Within the above context, this survey focuses on systematically reviewing the state-of-art on techniques for the enhancement and analysis of digital photos. Nevertheless, it is not within the scope of this survey to review image quality metrics for evaluating degradation due to compression, digital sensor noise, and affine issues. Assuming the photos have good quality in those aspects, this review is centered on techniques that might be useful to automate the task of selecting photos from large collections or to enhance the visual aspect of imperfect photos by using some perceptual measure.
ISSN:0104-6500
1678-4804
DOI:10.1007/s13173-013-0102-1