For autonomous driving systems, vehicle detection is an important part and challenging
problem due to the complex traffic scenes and poor computing resources. This paper …

This project aimed to develop and evaluate a fast and fully-automated deep-learning
method applying convolutional neural networks with deep supervision (CNN-DS) for …

Selecting the appropriate unmanned aerial vehicle flight height is beneficial for increasing
the monitoring efficiency. We firstly used an unmanned aerial vehicle to explore the scale …

The first part of the paper describes the septic-convolution (QC) interpolation kernel. The SC
kernel consists of seventh-order polynomials and approximates the ideal sinc function in the …

A novel evaluation study of the most appropriate round function for nearest neighbor image
interpolation is presented. Evaluated rounding functions are selected among the five …

Rescaling bilinear (RB) interpolant's pixels is a novel image interpolation scheme. In the
current study, we investigate the effects on the quality of interpolated images. RB determines …

Assessing the similarity of two images is a complex task that attracts significant efforts in the
image processing community. The widely used structural similarity index measure (SSIM) …

Image interpolation algorithms pervade many modern image processing and analysis
applications. However, when their weighting schemes inefficiently generate very unrealistic …

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 …

Unlike traditional linear interpolation algorithms, which compute all kernel pixels locations, a
novel image interpolation algorithm that uses the preliminary pixels kernel and extrapolated …