Title:	Sharpness Measurement by Edge-related Frequency Components
Authors:	Lee, Yuan-Kang Ding, Jian-Jiun
Citation:	WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 371-376.
Issue Date:	2024
Publisher:	Václav Skala - UNION Agency
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/57411
ISSN:	2464–4625 (online) 2464–4617 (print)
Keywords:	ostrost obrazu;rozmazání obrazu;bez odkazu;oddělená vlnková transformace;detekce hrany;hodnocení kvality obrazu
Keywords in different language:	image sharpness;image blur;no-reference;discrete wavelet transform;edge detection;image quality assessment
Abstract in different language:	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.
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	WSCG 2024: Full Papers Proceedings

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