A comparison of the statistical properties of IQA databases relative to a set of newly captured high-definition images

  • Authors:

  • Javier Silvestre-Blanes;Ian van der Linde;Rubén Pérez-Lloréns

  • Affiliations:

  • Instituto Tecnológico de Informática (ITI), Universitat Politècnica de València (UPV), Alcoy, Spain;Vision & Eye Research Unit (VERU), Postgraduate Medical Institute, Anglia Ruskin University, Cambridge, United Kingdom;Instituto Tecnológico de Informática (ITI), Universitat Politècnica de València (UPV), Alcoy, Spain

  • Venue:
  • ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
  • Year:
  • 2012

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Abstract

A broad range of image processing applications require image databases during development and testing. Whilst some image databases have been assembled with specific applications in mind, others are intended for more general use, with image content that is purposefully not application-specific. General-purpose image databases are in frequent use in the development of new compression algorithms, including in the evaluation of the efficacy of lossy compression techniques via statistical and human (perceptual) image quality assessment methods. The question of how the images featuring in standard image databases are selected is important, but is rarely quantitatively justified. In this article, we describe the compilation of a new image database of high-definition color images. We present statistical analyzes both of the images that feature in the most widely used extant databases, and the new database that we have compiled, in order to evaluate how broad a range of the statistics measured each database spans.