Název:	Sharpness Measurement by Edge-related Frequency Components
Autoři:	Lee, Yuan-Kang Ding, Jian-Jiun
Citace zdrojového dokumentu:	WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 371-376.
Datum vydání:	2024
Nakladatel:	Václav Skala - UNION Agency
Typ dokumentu:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/57411
ISSN:	2464–4625 (online) 2464–4617 (print)
Klíčová slova:	ostrost obrazu;rozmazání obrazu;bez odkazu;oddělená vlnková transformace;detekce hrany;hodnocení kvality obrazu
Klíčová slova v dalším jazyce:	image sharpness;image blur;no-reference;discrete wavelet transform;edge detection;image quality assessment
Abstrakt v dalším jazyce:	In this paper, a novel no-reference image quality metric of sharpness is proposed. Our image quality metric is evaluated on two key attributes discerned during the assessment of image sharpness by the human visual system (HVS): 1. Image sharpness is principally contingent upon the salience of edges within the image. 2. With an increase in the decomposition level of the Discrete Wavelet Transform (DWT), the high-frequency coefficients correspond to higher spatial frequency information in an image. Experimental results show that in comparison to other state-of-the-art metrics, our method not only accurately assesses image sharpness in both defocus and motion blur scenarios but also showcases superior precision and broader applicability.
Práva:	© Václav Skala - UNION Agency
Vyskytuje se v kolekcích:	WSCG 2024: Full Papers Proceedings

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