Image Quality Assessment Using Edge Correlation

• Autorzy: Ruikar J. , Sinha A. , Chaudhury S.

Identyfikatory

DOI

10.1515/eletel-2017-0014

• Języki publikacji: EN

Abstrakty

EN

In literature, oriented filters are used for low-level vision tasks. In this paper, we propose use of steerable Gaussian filter in image quality assessment. Human visual system is more sensitive to multidirectional edges present in natural images. The most degradation in image quality is caused due to its edges. In this work, an edge based metric termed as steerable Gaussian filtering (SGF) quality index is proposed as objective measure for image quality assessment. The performance of the proposed technique is evaluated over multiple databases. The experimental result shows that proposed method is more reliable and outperform the conventional image quality assessment method.

Słowa kluczowe

EN

image quality assessment; image quality metrics; steerable Gaussian filter; subjective assessment

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2017
• Tom: Vol. 63, No. 1
• Strony: 99--107
• Opis fizyczny: Bibliogr. 34 poz., il., wykr., tab.

Twórcy

autor

Ruikar J.

• Department of Electrical Engineering, National Institute of Technology Silchar, Cachar, Assam, INDIA. Pin-788010

autor

Sinha A.

• Department of Electrical Engineering, National Institute of Technology Silchar, Cachar, Assam, INDIA. Pin-788010

autor

Chaudhury S.

• Department of Electrical Engineering, National Institute of Technology Silchar, Cachar, Assam, INDIA. Pin-788010

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).