Visible to the public A no reference perceptual blur quality metric in the DCT domain

TitleA no reference perceptual blur quality metric in the DCT domain
Publication TypeConference Paper
Year of Publication2015
AuthorsKerouh, F., Serir, A.
Conference Name2015 3rd International Conference on Control, Engineering Information Technology (CEIT)
Date PublishedMay 2015
PublisherIEEE
ISBN Number978-1-4799-8212-7
Keywordsblind blur quality measures, blind objective metrics, blind quality metric, blind source separation, blur distortion, Blurring, blurring affects, Databases, DCT domain, digital imaging systems, discrete cosine transform, Discrete Cosine Transform (DCT), discrete cosine transforms, edges, fine image details, frequency domain, frequency-domain analysis, human visual system, Image edge detection, image high frequency components, image restoration, JNB, just noticeable blur concept, Just Noticeable Blur threshold (JNB), no reference perceptual blur quality metric, PBBQM, perceived image quality degradation, perceptual blind blur quality metric, perceptual no reference blur assessment metric, pubcrawl170111, subjective quality scores, Visual systems, wavelet transforms
Abstract

Blind objective metrics to automatically quantify perceived image quality degradation introduced by blur, is highly beneficial for current digital imaging systems. We present, in this paper, a perceptual no reference blur assessment metric developed in the frequency domain. As blurring affects specially edges and fine image details, that represent high frequency components of an image, the main idea turns on analysing, perceptually, the impact of blur distortion on high frequencies using the Discrete Cosine Transform DCT and the Just noticeable blur concept JNB relying on the Human Visual System. Comprehensive testing demonstrates the proposed Perceptual Blind Blur Quality Metric (PBBQM) good consistency with subjective quality scores as well as satisfactory performance in comparison with both the representative non perceptual and perceptual state-of-the-art blind blur quality measures.

URLhttps://ieeexplore.ieee.org/document/7233043
DOI10.1109/CEIT.2015.7233043
Citation Keykerouh_no_2015