Efficient perceptual attentive super-resolution

Nabil G. Sadaka, Lina Karam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations


An efficient Perceptually Attentive (PA) Super-Resolution method is proposed to significantly reduce the computational complexity of iterative super-resolution algorithms without loss of the desired perceptual quality. A perceptually significant constrained set of active pixels is selected for processing by the SR algorithm based on a just noticeable distortion threshold model. These selected active pixels are further reduced by using saliency information that is determined by a visual attention model. Furthermore, the active pixels lying in the attended regions are processed at a higher accuracy by the SR method relative to pixels in other regions. Simulation results are presented to show the preserved desired visual quality and a 30-40% reduction in complexity over a highly efficient Selective Perceptual Fast Two-Step (SELP-FTS) scheme.

Original languageEnglish (US)
Title of host publication2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
PublisherIEEE Computer Society
Number of pages4
ISBN (Print)9781424456543
StatePublished - Jan 1 2009
Event2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt
Duration: Nov 7 2009Nov 10 2009

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880


Other2009 IEEE International Conference on Image Processing, ICIP 2009


  • Bilateral filter
  • Estimation
  • Image quality
  • Super-resolution
  • Visual attention

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing


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