Planar digital image sensors facilitate broad applications in a wide range of areas,,,–, and
the number of pixels has scaled up rapidly in recent years,. However, the practical …

In modern digital microscopy, deconvolution methods are widely used to eliminate a number
of image defects and increase resolution. In this review, we have divided these methods into …

The accurate and robust prediction of vessel traffic flow is gaining importance in maritime
intelligent transportation system (ITS), such as vessel traffic services, maritime spatial …

Blind deblurring has attracted much interest with its wide applications in reality. The blind
deblurring problem is usually solved by estimating the intermediate kernel and the …

Blind image deblurring (BID) has been extensively studied in computer vision and adjacent
fields. Modern methods for BID can be grouped into two categories: single-instance methods …

Dynamic scene blur is usually caused by object motion, depth variation as well as camera
shake. Most existing methods usually solve this problem using image segmentation or fully …

In this paper, we propose an effective and efficient face deblurring algorithm by exploiting
semantic cues via deep convolutional neural networks. As the human faces are highly …

Background/Objectives: Lung and cardiovascular diseases are leading causes of mortality
worldwide, yet early detection remains challenging due to the subtle symptoms. Digital …

Camera gimbal systems pervade various applications such as navigation, target tracking,
security and surveillance. The need for higher steering rate (rotation angle per second) of …

ABSTRACT X-rays are common tools used in clinical diagnoses. During the X-ray process, a
patient is required to lie still or to hold a deep breath. However, when dealing with patients …