Single image super-resolution under multi-frame method

Zhu, Shujin; Li, Yuehua

doi:10.1007/s11760-018-1361-2

Cited by 6 publications

(1 citation statement)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, this method offers higher computational time and uses a constant spatial window size over the entire image irrespective of the nature and types of features it contains. Zhu and Li incorporated a rolling guidance filter into the MSR framework to handle the issue of an insufficient number of input low‐resolution images [32]. The method, despite the appealing visual results it generates, gives an insignificant improvement in terms of the objective signal strength of the restored images.…”

Section: Augmenting Pvr Systemsmentioning

confidence: 99%

Cost‐effective and accurate palm vein recognition system based on multiframe super‐resolution algorithms

et al. 2020

View full text Add to dashboard Cite

Palm vein recognition (PVR) refers to the contactless biometric identification method that uses palm vein patterns to confirm the identity of a person. Compared with other methods, PVR has received a wide attention because it provides more secure results. The veins, being located inside the human body, make PVR robust against tempering and changes in morphology of body features. Most PVR systems integrate four stages: image acquisition, pre-processing, feature extraction, and decision. The first two stages determine accuracy of the final identification results. Focusing on the pre-processing component, we discovered that the available approaches fail to generate more informative vein patterns by simultaneously suppressing noise and blur, and also by recovering semantically useful features (edges, contours, and lines) from the acquired images. This weakness calls for sophisticated acquisition devices that make PVR systems costly. In this work, we have proposed multiframe super-resolution (MSR) as a pre-processing stage to improve performance of the traditional PVR systems. MSR exploits information from multiple images of the same scene to reconstruct a high-resolution image. This technique signals the possibility of using inexpensive low-resolution imaging devices demanded by the traditional PVR systems. Experiments show that our method outperforms most classical methods.

show abstract

Section: Augmenting Pvr Systemsmentioning

confidence: 99%