An efficient, selective, perceptual-based super-resolution estimator

Rony Ferzli; Zoran A. Ivanovski; Lina Karam

doi:10.1109/ICIP.2008.4711991

An efficient, selective, perceptual-based super-resolution estimator

Rony Ferzli, Zoran A. Ivanovski, Lina Karam

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

In this paper, a SELective Perceptual-based (SELP) scheme is presented to reduce the complexity of popular super-resolution (SR) algorithms while maintaining the desired quality of the enhanced images/video. A perceptual Human Visual System (HVS) model is proposed to compute the contrast sensitivity threshold for a given background intensity. The obtained thresholds are used to select which pixels are super-resolved based on the perceived visibility of local edges. This is accomplished by estimating the contrast sensitivity threshold locally over a block. Next, the absolute difference between each pixel and its neighbors is computed and compared to the threshold upon which a decision is made to include the pixel in the SR estimator for the next iteration or not. The perceptual model is integrated into a MAP-based SR algorithm as well as a fast ML estimator. Simulation results show up to 47% reduction on average in computational complexity with comparable SNR gains and visual quality.

Original language	English (US)
Title of host publication	2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Pages	1260-1263
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2008.4711991
State	Published - Dec 1 2008
Event	2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States Duration: Oct 12 2008 → Oct 15 2008

Publication series

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

Other

Other	2008 IEEE International Conference on Image Processing, ICIP 2008
Country/Territory	United States
City	San Diego, CA
Period	10/12/08 → 10/15/08

Keywords

ML estimator
Map
Perceptual quality
Reduced complexity
Super-resolution

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

10.1109/ICIP.2008.4711991

Cite this

An efficient, selective, perceptual-based super-resolution estimator. / Ferzli, Rony; Ivanovski, Zoran A.; Karam, Lina.
2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings. 2008. p. 1260-1263 4711991 (Proceedings - International Conference on Image Processing, ICIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ferzli, R, Ivanovski, ZA & Karam, L 2008, An efficient, selective, perceptual-based super-resolution estimator. in 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings., 4711991, Proceedings - International Conference on Image Processing, ICIP, pp. 1260-1263, 2008 IEEE International Conference on Image Processing, ICIP 2008, San Diego, CA, United States, 10/12/08. https://doi.org/10.1109/ICIP.2008.4711991

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An efficient, selective, perceptual-based super-resolution estimator

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Keywords

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