Guided Image Contrast Enhancement Based on Retrieved Images in Cloud

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

45 Scopus Citations
View graph of relations

Author(s)

  • Ke Gu
  • Siwei Ma
  • Weisi Lin
  • Xianming Liu
  • Wen Gao

Detail(s)

Original languageEnglish
Article number7360203
Pages (from-to)219-232
Journal / PublicationIEEE Transactions on Multimedia
Volume18
Issue number2
Online published17 Dec 2015
Publication statusPublished - Feb 2016
Externally publishedYes

Abstract

We propose a guided image contrast enhancement framework based on cloud images, in which the context-sensitive and context-free contrast is jointly improved via solving a multi-criteria optimization problem. In particular, the context-sensitive contrast is improved by performing advanced unsharp masking on the input and edge-preserving filtered images, while the context-free contrast enhancement is achieved by the sigmoid transfer mapping. To automatically determine the contrast enhancement level, the parameters in the optimization process are estimated by taking advantages of the retrieved images with similar content. For the purpose of automatically avoiding the involvement of low-quality retrieved images as the guidance, a recently developed no-reference image quality metric is adopted to rank the retrieved images from the cloud. The image complexity from the free-energy-based brain theory and the surface quality statistics in salient regions are collaboratively optimized to infer the parameters. Experimental results confirm that the proposed technique can efficiently create visually-pleasing enhanced images which are better than those produced by the classical techniques in both subjective and objective comparisons.

Research Area(s)

  • Contrast enhancement, free-energy, image quality assessment, retrieved images, sigmoid transfer mapping, surface quality, unsharp masking

Citation Format(s)

Guided Image Contrast Enhancement Based on Retrieved Images in Cloud. / Wang, Shiqi; Gu, Ke; Ma, Siwei; Lin, Weisi; Liu, Xianming; Gao, Wen.

In: IEEE Transactions on Multimedia, Vol. 18, No. 2, 7360203, 02.2016, p. 219-232.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review