251 citations · 404 across the 13 of their papers we have counts for
14 papers
Evaluation of Extra Pixel Interpolation with Mask Processing for Medical Image Segmentation with Deep Learning
Olivier Rukundo
Current mask processing operations rely on interpolation algorithms that do not produce extra pixels, such as nearest neighbor (NN) interpolation, as opposed to algorithms that do…
Stochastic Rounding for Image Interpolation and Scan Conversion
Olivier Rukundo, Samuel Emil Schmidt
The stochastic rounding (SR) function is proposed to evaluate and demonstrate the effects of stochastically rounding row and column subscripts in image interpolation and scan conve…
Advances on image interpolation based on ant colony algorithm
Olivier Rukundo, Hanqiang Cao
This paper presents an advance on image interpolation based on ant colony algorithm (AACA) for high-resolution image scaling. The difference between the proposed algorithm and the…
Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy
Olivier Rukundo, Marius Pedersen, Øistein Hovde
This paper proposes an advanced method for contrast enhancement of capsule endoscopic images, with the main objective to obtain sufficient information about the vessels and structu…
Effects of Improved Floor Function on the Accuracy of Bilinear Interpolation Algorithm
Olivier Rukundo
In this study, the standard IEEE 754 2008 and modulo-based floor functions for rounding non-integers have been presented. Their effects on the accuracy of the bilinear interpolatio…
Challenges of 3D Surface Reconstruction in Capsule Endoscopy
Olivier Rukundo
Essential for improving the accuracy and reliability of bowel cancer screening, three-dimensional (3D) surface reconstruction using capsule endoscopy (CE) images remains challengin…
Effects of Image Size on Deep Learning
Olivier Rukundo
In this work, the best size for late gadolinium enhancement (LGE) magnetic resonance imaging (MRI) images in the training dataset was determined to optimize deep learning training…
Evaluation of deep learning-based myocardial infarction quantification using Segment CMR software
Olivier Rukundo
This work evaluates deep learning-based myocardial infarction (MI) quantification using Segment cardiovascular magnetic resonance (CMR) software. Segment CMR software incorporates…
Effect of the regularization hyperparameter on deep learning-based segmentation in LGE-MRI
Olivier Rukundo
The extent to which the arbitrarily selected L2 regularization hyperparameter value affects the outcome of semantic segmentation with deep learning is demonstrated. Demonstrations…
Normalized Weighting Schemes for Image Interpolation Algorithms
Olivier Rukundo
Image interpolation algorithms pervade many modern image processing and analysis applications. However, when their weighting schemes inefficiently generate very unrealistic estimat…
Software Implementation of Optimized Bicubic Interpolated Scan Conversion in Echocardiography
Olivier Rukundo, Samuel E. Schmidt, Olaf T von Ramm
This paper introduces a novel approach leveraging objective image quality assessment (IQA) metrics to optimize the outcomes of traditional bicubic (BIC) image interpolation and int…
Evaluation of Rounding Functions in Nearest-Neighbor Interpolation
Olivier Rukundo
A novel evaluation study of the most appropriate round function for nearest-neighbor (NN) image interpolation is presented. Evaluated rounding functions are selected among the five…
4X4 Census Transform
Olivier Rukundo
This paper proposes a 4X4 Census Transform (4X4CT) to encourage further research in computer vision and visual computing. Unlike the traditional 3X3 CT which uses a nine pixels ker…
Nearest Neighbor Value Interpolation
Olivier Rukundo, Hanqiang Cao
This paper presents the nearest neighbor value (NNV) algorithm for high resolution (H.R.) image interpolation. The difference between the proposed algorithm and conventional neares…