8 papers
A geometry-based deep equilibrium model for image restoration under multiplicative Gamma noise
Shengkun Yang, Luca Ratti, Zhichang Guo
We propose a deep learning framework for image restoration from images degraded by both multiplicative Gamma noise and blur. Unlike conventional deep equilibrium (DEQ) models that…
From level set evolution to threshold optimization: A grayscale level set framework for image segmentation
Xingkai Li, Jiebao Sun, Fanghui Song +1
The segmentation of multiple degradations has been a challenging problem in the field of image segmentation. Existing level set approaches commonly adopt a length regularization te…
A Smooth Phase-Separation Model for Weak-Boundary Segmentation of Homogeneous Structures
Zihan Li, Jiebao Sun, Fanghui Song +1
Segmentation of adjacent structures with similar intensity distributions remains a challenging problem in image analysis, particularly when object boundaries are weak or ambiguous.…
SILSM: A Sustainable Interactive Level Set Method for Progressive Refinement
Jiachen Song, Dazhi Zhang, Fanghui Song +2
Interactive segmentation aims to precisely isolate target objects using sparse user guidance. However, traditional methods often suffer from heavy interaction burdens and parameter…
A class of forward-backward regularizations of the Perona-Malik equation with variable exponent
Yihui Tong, Wenjie Liu, Zhichang Guo +1
This paper investigates a novel class of regularizations of the Perona-Malik equation with variable exponents, of forward-backward parabolic type, which possess a variational struc…
An ICTM-RMSAV Framework for Bias-Field Aware Image Segmentation under Poisson and Multiplicative Noise
Xinyu Wang, Wenjun Yao, Fanghui Song +1
Image segmentation is a core task in image processing, yet many methods degrade when images are heavily corrupted by noise and exhibit intensity inhomogeneity. Within the iterative…