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International Journal of Computer Vision

Erschienen in:

08.12.2017

Hallucinating Compressed Face Images

verfasst von: Chih-Yuan Yang, Sifei Liu, Ming-Hsuan Yang

Erschienen in: International Journal of Computer Vision | Ausgabe 6/2018

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Abstract

A face hallucination algorithm is proposed to generate high-resolution images from JPEG compressed low-resolution inputs by decomposing a deblocked face image into structural regions such as facial components and non-structural regions like the background. For structural regions, landmarks are used to retrieve adequate high-resolution component exemplars in a large dataset based on the estimated head pose and illumination condition. For non-structural regions, an efficient generic super resolution algorithm is applied to generate high-resolution counterparts. Two sets of gradient maps extracted from these two regions are combined to guide an optimization process of generating the hallucination image. Numerous experimental results demonstrate that the proposed algorithm performs favorably against the state-of-the-art hallucination methods on JPEG compressed face images with different poses, expressions, and illumination conditions.

Vorheriger Artikel Defining the Pose of Any 3D Rigid Object and an Associated Distance

Nächster Artikel SDF-2-SDF Registration for Real-Time 3D Reconstruction from RGB-D Data

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Titel: Hallucinating Compressed Face Images
verfasst von: Chih-Yuan Yang
Sifei Liu
Ming-Hsuan Yang
Publikationsdatum: 08.12.2017
Verlag: Springer US
Erschienen in: International Journal of Computer Vision / Ausgabe 6/2018
Print ISSN: 0920-5691
Elektronische ISSN: 1573-1405
DOI: https://doi.org/10.1007/s11263-017-1044-4

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