Fractional Derivatives Application to Image Fusion Problems

Motłoch, Szymon; Sarwas, Grzegorz; Dzieliński, Andrzej

doi:10.3390/s22031049

Cited by 7 publications

(1 citation statement)

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“…Although the physical meaning of the GL fractional derivative is not absolutely understandable, it is important to notice that GL derivatives, in contrast to integer derivatives, do not have local characters [ 84 ]. Namely, their derivatives depend on the entire functions.…”

Section: Materials and Methodsmentioning

confidence: 99%

No-Reference Quality Assessment of Authentically Distorted Images Based on Local and Global Features

Varga

2022

J. Imaging

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With the development of digital imaging techniques, image quality assessment methods are receiving more attention in the literature. Since distortion-free versions of camera images in many practical, everyday applications are not available, the need for effective no-reference image quality assessment algorithms is growing. Therefore, this paper introduces a novel no-reference image quality assessment algorithm for the objective evaluation of authentically distorted images. Specifically, we apply a broad spectrum of local and global feature vectors to characterize the variety of authentic distortions. Among the employed local features, the statistics of popular local feature descriptors, such as SURF, FAST, BRISK, or KAZE, are proposed for NR-IQA; other features are also introduced to boost the performances of local features. The proposed method was compared to 12 other state-of-the-art algorithms on popular and accepted benchmark datasets containing RGB images with authentic distortions (CLIVE, KonIQ-10k, and SPAQ). The introduced algorithm significantly outperforms the state-of-the-art in terms of correlation with human perceptual quality ratings.

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Section: Materials and Methodsmentioning

confidence: 99%