On the Choice of Tensor Estimation for Corner Detection, Optical Flow and Denoising

2026-08-23

AI Summary

本文探讨了使用梯度能量张量替代结构张量在角点检测、光流和图像增强中的应用，实验表明该方法能提高处理速度而不损失图像质量。

Abstract

Many image processing methods such as corner detection, optical flow and iterative enhancement make use of image tensors. Generally, these tensors are estimated using the structure tensor. In this work we show that the gradient energy tensor can be used as an alternative to the structure tensor in several cases. We apply the gradient energy tensor to common image problem applications such as corner detection, optical flow and image enhancement. Our experimental results suggest that the gradient energy tensor enables real-time tensor-based image enhancement using the graphical processing unit (GPU) and we obtain 40% increase of frame rate without loss of image quality.

Problem

• corner detection
• optical flow
• image denoising
• tensor estimation

Innovation

• Gradient Energy Tensor
• Structure Tensor
• Real-time Image Enhancement
• GPU