most citedReal-Time Impulse Noise Removal from MR Images for Radiosurgery Applications

3 citations · 5 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2018

Context aware saliency map generation using semantic segmentation

Mahdi Ahmadi, Mohsen Hajabdollahi, Nader Karimi +1

Saliency map detection, as a method for detecting important regions of an image, is used in many applications such as image classification and recognition. We propose that context…

eess.IV2018

RIBBONS: Rapid Inpainting Based on Browsing of Neighborhood Statistics

Mojtaba Akbari, Majid Mohrekesh, Nader Karimi +1

Image inpainting refers to filling missing places in images using neighboring pixels. It also has many applications in different tasks of image processing. Most of these applicatio…

eess.IV2017

Image Inpainting by Hyperbolic Selection of Pixels for Two Dimensional Bicubic Interpolations

Mehran Motmaen, Majid Mohrekesh, Mojtaba Akbari +2

Image inpainting is a restoration process which has numerous applications. Restoring of scanned old images with scratches, or removing objects in images are some of inpainting appl…

eess.IV2017

Polyp detection inside the capsule endoscopy: an approach for power consumption reduction

Mohammad Amin Khorsandi, Nader Karimi, Shadrokh Samavi

Capsule endoscopy is a novel and non-invasive method for diagnosis, which assists gastroenterologists to monitor the digestive track. Although this new technology has many advantag…

cs.CV20171 cited

Real time ridge orientation estimation for fingerprint images

Eman Alibeigi, Shadrokh Samavi, Shahram Shirani +1

Fingerprint verification is an important bio-metric technique for personal identification. Most of the automatic verification systems are based on matching of fingerprint minutiae.…

cs.CV20171 cited

Hardware design for binarization and thinning of fingerprint images

Farshad Kheiri, Shadrokh Samavi, Nader Karimi

Two critical steps in fingerprint recognition are binarization and thinning of the image. The need for real time processing motivates us to select local adaptive thresholding appro…