Image retargeting aims to alter the size of the image with attention to ...
Endoscopy is a valuable tool for the early diagnosis of colon cancer.
Ho...
Image inpainting consists of filling holes or missing parts of an image....
Computer-generated hologram (CGH) is promised to realize the next genera...
Learning to translate images from a source to a target domain with
appli...
Image retargeting aims at altering an image size while preserving import...
This paper suggests a new method for determining the search area for a m...
Conditional Generative Adversarial Networks (cGANs) have been used in ma...
Digital contents have grown dramatically in recent years, leading to
inc...
A sudden reliance on the internet has resulted in the global standardiza...
Knowledge distillation allows transferring knowledge from a pre-trained ...
With the increasing use of the internet and the ease of exchange of
mult...
A novel and fast semi-automatic method for segmentation, locating and
co...
Convolutional neural networks (CNNs) have a large number of variables an...
Convolutional neural networks (CNNs) are extensively beneficial for medi...
For convolutional neural networks (CNNs) that have a large volume of inp...
Filters are the essential elements in convolutional neural networks (CNN...
Fingerprint verification is an important bio-metric technique for person...
Increasing production and exchange of multimedia content has increased t...
Coronary artery disease (CAD) is the leading causes of death around the
...
Noise is an important factor that degrades the quality of medical images...
Development of digital content has increased the necessity of copyright
...
In the recent years image processing techniques are used as a tool to im...
In this paper, we propose an OCR (optical character recognition)-based
l...
With the increasing demand for image-based applications, the efficient a...