No-reference Image Blur Metric Based on Besov Norms
| Autor: | Zih-Wei Lin, 林子瑋 |
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| Rok vydání: | 2016 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 104 To objectively quantify the perceived blurriness of an image is useful and impertant in various image processing applications, in particular image quality assessment without the reference image is more challenging. In this paper, we present a blind image blur metric adapted to different image content. The approach is originated from the wavelet characterization of smoothness of Besov function spaces. We then imitate the human-perceived blurriness through Besov smoothness model. The metric utilizes the descending rate of Besov norm of the re-blurred images to estimate the blurred image quality. The performance of the proposed framework is evaluated on four public image quality databases. The experimental results show that our method can produce blur index highly consistent with subjective evaluations. Keywords: Blind quality assessment, blur image metric, wavelet transform, Besov space. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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