No-reference image quality assessment for photographic images of consumer device

Yucheng Zhu; Guangtao Zhai; Ke Gu; Zhaohui Che

ICASSP 2016accepted0 citations

No-reference image quality assessment for photographic images of consumer device

Yucheng Zhu, Guangtao Zhai, Ke Gu, Zhaohui Che

Abstract

In this paper we study common, camera-specific kinds of distortions and propose a no-reference image quality assessment algorithm for photographic images produced by consumer devices. Those real consumer-type images, being different from simulated-distortion images, are with realistic artifacts and quality ranges. We find that the state-of-the-art no-reference image quality assessment approaches do not perform well on those photographic images, and propose an approach that achieves high prediction performance on a dataset of consumer-centric images. The proposed method, with no need for the original image, is able to reveal camera-specific problems and differentiate consumer cameras.

BibTeX

@inproceedings{icassp2016_noreferenceimage,
  title = {No-reference image quality assessment for photographic images of consumer device},
  author = {Yucheng Zhu and Guangtao Zhai and Ke Gu and Zhaohui Che},
  booktitle = {ICASSP 2016},
  year = {2016}
}