3 papers
eess.IV2026
Mathematical framework for perception-driven parameter choice in image denoising
Saara Isoranta, Emilia L. K. BlÃ¥sten, LÃlian Ferreira de Freitas +3
We approach image denoising from a perception-driven perspective: how can we select the parameters that are best suited for human visual perception? We combine research methods in…
math.NA2025
Dual-grid parameter choice method with application to image deblurring
Markus Juvonen, Bjørn Jensen, Ilmari Pohjola +2
Variational regularization of ill-posed inverse problems is based on minimizing the sum of a data fidelity term and a regularization term. The balance between them is tuned using a…
cs.CV2025
Recomposed realities: animating still images via patch clustering and randomness
Markus Juvonen, Samuli Siltanen
We present a patch-based image reconstruction and animation method that uses existing image data to bring still images to life through motion. Image patches from curated datasets a…