Targeted Iterative Filtering

2026-08-23

AI Summary

本文提出了一种基于应用驱动的线性扩散过程的新非线性扩散方案，以改善图像去噪效果，适用于不同应用场景。

Abstract

The assessment of image denoising results depends on the respective application area, i.e. image compression, still-image acquisition, and medical images require entirely different behavior of the applied denoising method. In this paper we propose a novel, nonlinear diffusion scheme that is derived from a linear diffusion process in a value space determined by the application. We show that application-driven linear diffusion in the transformed space compares favorably with existing nonlinear diffusion techniques.

Problem

• image denoising
• application area
• nonlinear diffusion

Innovation

• Targeted Iterative Filtering
• nonlinear diffusion scheme
• application-driven
• value space