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#image processing

6 results
stat.CO2019

Multilevel Optimal Transport: a Fast Approximation of Wasserstein-1 distances

Jialin Liu, Wotao Yin, Wuchen Li +1

The paper introduces a multilevel primal‑dual algorithm that rapidly approximates the Wasserstein‑1 distance, achieving solutions for 512×512 images in under a few seconds on a sin…

#wasserstein-1 distance#multilevel methods#primal-dual algorithm#fast computation
cs.CV2019

Arc-support Line Segments Revisited: An Efficient and High-quality Ellipse Detection

Changsheng Lu, Siyu Xia, Ming Shao +1

The paper introduces an ellipse detection algorithm that uses arc-support line segments to achieve both high accuracy and fast processing in real-world images.

#ellipse detection#line segment extraction#shape analysis#image processing
cs.CV2019

4X4 Census Transform

Olivier Rukundo

The paper introduces a 4×4 Census Transform that uses a sixteen‑pixel kernel with overlapping 3×3 groups to generate binary strings for each pixel, yielding higher texture crispnes…

#census transform#feature extraction#texture analysis#image representation
cs.MS2019

PyLops -- A Linear-Operator Python Library for large scale optimization

Matteo Ravasi, Ivan Vasconcelos

The paper introduces PyLops, an open-source Python library that lets users define and combine linear operators without building explicit matrices, enabling efficient large‑scale op…

#linear operators#large-scale optimization#numerical linear algebra#signal processing
math.OC2019

On the Computation of Kantorovich-Wasserstein Distances between 2D-Histograms by Uncapacitated Minimum Cost Flows

Federico Bassetti, Stefano Gualandi, Marco Veneroni

The paper proposes a method to compute the order‑1 Kantorovich‑Wasserstein distance between two‑dimensional histograms by reducing the classic transportation problem to an uncapaci…

#wasserstein distance#minimum cost flow#2d histograms#image processing
eess.IV2019

A Color Compensation Method Using Inverse Camera Response Function for Multi-exposure Image Fusion

Artit Visavakitcharoen, Yuma Kinoshita, Hitoshi Kiya

The paper proposes a method that estimates an inverse camera response function from multi-exposure photos to recover an HDR radiance map, which is then used to correct color distor…

#multi-exposure fusion#color compensation#camera response function#hdr imaging