Key Point Agnostic Frequency-Selective Mesh-to-Grid Image Resampling using Spectral Weighting

Heimann V, Genser N, Kaup A (2020)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2020

Event location: Tampere (Virtual Conference) FI

URI: https://arxiv.org/abs/2203.08086

DOI: 10.1109/MMSP48831.2020.9287096

Abstract

Many applications in image processing require re- sampling of arbitrarily located samples onto regular grid po- sitions. This is important in frame-rate up-conversion, super- resolution, and image warping among others. A state-of-the-art high quality model-based resampling technique is frequency- selective mesh-to-grid resampling which requires pre-estimation of key points. In this paper, we propose a new key point agnostic frequency-selective mesh-to-grid resampling that does not depend on pre-estimated key points. Hence, the number of data points that are included is reduced drastically and the run time decreases significantly. To compensate for the key points, a spectral weighting function is introduced that models the optical transfer function in order to favor low frequencies more than high ones. Thereby, resampling artefacts like ringing are supressed reliably and the resampling quality increases. On average, the new AFSMR is conceptually simpler and gains up to 1.2 dB in terms of PSNR compared to the original mesh-to-grid resampling while being approximately 14.5 times faster.

Authors with CRIS profile

Viktoria Heimann Lehrstuhl für Multimediakommunikation und Signalverarbeitung Nils Genser Lehrstuhl für Multimediakommunikation und Signalverarbeitung Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung

Additional Organisation(s)

Lehrstuhl für Multimediakommunikation und Signalverarbeitung

How to cite

APA:

Heimann, V., Genser, N., & Kaup, A. (2020). Key Point Agnostic Frequency-Selective Mesh-to-Grid Image Resampling using Spectral Weighting. In Proceedings of the IEEE International Workshop on Multimedia Signal Processing (MMSP). Tampere (Virtual Conference), FI.

MLA:

Heimann, Viktoria, Nils Genser, and André Kaup. "Key Point Agnostic Frequency-Selective Mesh-to-Grid Image Resampling using Spectral Weighting." Proceedings of the IEEE International Workshop on Multimedia Signal Processing (MMSP), Tampere (Virtual Conference) 2020.

BibTeX: Download