Quarter Laplacian Filter for Edge Aware Image Processing

01/20/2021
by   Yuanhao Gong, et al.
21

This paper presents a quarter Laplacian filter that can preserve corners and edges during image smoothing. Its support region is 2×2, which is smaller than the 3×3 support region of Laplacian filter. Thus, it is more local. Moreover, this filter can be implemented via the classical box filter, leading to high performance for real time applications. Finally, we show its edge preserving property in several image processing tasks, including image smoothing, texture enhancement, and low-light image enhancement. The proposed filter can be adopted in a wide range of image processing applications.

READ FULL TEXT

page 2

page 3

page 4

research
12/27/2021

Image Edge Restoring Filter

In computer vision, image processing and computer graphics, image smooth...
research
08/11/2021

One-Sided Box Filter for Edge Preserving Image Smoothing

Image smoothing is a fundamental task in signal processing. For such tas...
research
06/08/2022

Gaussian Fourier Pyramid for Local Laplacian Filter

Multi-scale processing is essential in image processing and computer gra...
research
06/23/2016

Fast Multi-Layer Laplacian Enhancement

A novel, fast and practical way of enhancing images is introduced in thi...
research
02/21/2018

Density Weighted Connectivity of Grass Pixels in Image Frames for Biomass Estimation

Accurate estimation of the biomass of roadside grasses plays a significa...
research
09/15/2014

Convolutional Networks for Image Processing by Coupled Oscillator Arrays

A coupled oscillator array is shown to approximate convolutions with Gab...
research
05/17/2013

Sparse Norm Filtering

Optimization-based filtering smoothes an image by minimizing a fidelity ...

Please sign up or login with your details

Forgot password? Click here to reset