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Found 6 papers, 1 papers with code
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems
The Alternating Direction Method of Multipliers (ADMM) has gained significant attention across a broad spectrum of machine learning applications.
UID2021: An Underwater Image Dataset for Evaluation of No-reference Quality Assessment Metrics
Achieving subjective and objective quality assessment of underwater images is of high significance in underwater visual perception and image/video processing.
Enhancing Underwater Image via Adaptive Color and Contrast Enhancement, and Denoising
To address these visual degradations, we propose a novel scheme by constructing an adaptive color and contrast enhancement, and denoising (ACCE-D) framework for underwater image enhancement.
The Chan-Vese Model with Elastica and Landmark Constraints for Image Segmentation
In order to completely separate objects with large sections of occluded boundaries in an image, we devise a new variational level set model for image segmentation combining the Chan-Vese model with elastica and landmark constraints.
Tensor Based Second Order Variational Model for Image Reconstruction
Second order total variation (SOTV) models have advantages for image reconstruction over their first order counterparts including their ability to remove the staircase artefact in the reconstructed image, but they tend to blur the reconstructed image.
Blurred Palmprint Recognition Based on Stable-FeatureExtraction Using a Vese-Osher Decomposition Model
The experimental results are used to demonstrate the theoretica conclusion that the structure laver is stable foidifferent bluring scales The WRHOG method also proves to be an advanced and robust method of distinauishing blurredpalmprints.
