Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10755
Title: Non-shift edge based ratio (NSER) : an image quality assessment metric based on early vision features
Authors: Zhang, M
Mou, X
Zhang, L 
Keywords: Image quality assessment (IQA)
non-shift edge (NSE)
non-shift edge based ratio (NSER)
zero-crossing
Issue Date: 2011
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE signal processing letters, 2011, v. 18, no. 5, 5729787, p. 315-318 How to cite?
Journal: IEEE signal processing letters 
Abstract: How to evaluate the image perceptual quality is a fundamental problem in image and video processing, and various methods have been proposed for image quality assessment (IQA). This letter presents a novel IQA metric, which is based on the image primitive features produced in the earliest processing stage of human visual system. The procedures involved in the proposed method include computing the response of classical receptive fields, zero-crossing detection, and non-shift edge based ratio (NSER) calculation. The proposed IQA metric is very simple but very effective. The experimental results on benchmark databases show that the NSER index has very high consistency with the psychological evaluation, performing much better than most state-of-the-art IQA metrics.
URI: http://hdl.handle.net/10397/10755
ISSN: 1070-9908
EISSN: 1558-2361
DOI: 10.1109/LSP.2011.2127473
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