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Denoising-based Image Reconstruction from Pixels Located at Non-integer Positions by Koloda, Ján; Seiler, Jürgen; Kaup, André is a scholarly article available to read on EtoBox.

What is Denoising-based Image Reconstruction from Pixels Located at Non-integer Positions about?

Digital images are commonly represented as regular 2D arrays, so pixels are organized in form of a matrix addressed by integers. However, there are many image processing operations, such as rotation or motion compensation, that produce pixels at non-integer positions. Typically, image reconstruction techniques cannot handle samples at non-integer positions. In this paper, we propose to use triangulation-based reconstruction as initial estimate that is later refined by a novel adaptive denoising framework. Simulations reveal that improvements of up to more than 1.8 dB (in terms of PSNR) are achieved with respect to the initial estimate.

Author

Koloda, Ján; Seiler, Jürgen; Kaup, André

Published

2022

Language

EN