![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
Global texture sensitive convolutional transformer for medical image steganalysis
Steganography is often used by hackers or illegal organizations as a vehicle for information interception of medical images. Exchanged between PACS or communicated during telemedicine sessions, images are modi...
-
Article
Automatic source scanner identification using 1D convolutional neural network
In this digital world, digitized documents can be considered original or a piece of evidence; checking the authenticity of any suspicious image has become an unavoidable concern to preserve the trust in its le...
-
Article
Discriminative feature representation for Noisy image quality assessment
Blind image quality assessment (BIQA) is one of the most challenging and difficult tasks in the field of IQA. Given that sparse representation through dictionary learning can learn the image feature well, this...
-
Article
Real-time analysis of cataract surgery videos using statistical models
The automatic analysis of the surgical process, from videos recorded during surgeries, could be very useful to surgeons, both for training and for acquiring new techniques. The training process could be optimi...